Patent Grant
12171575
All publications and patent applications mentioned in this specification are herein incorporated by reference in their entirety to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.
Described herein are gingival sensors for sensing one or more analytes from the gingiva while being stably held in position against the teeth.
Blood and oral fluids that are obtained from the tissues surrounding the teeth may be used for diagnostic or therapeutic purposes. Typically samples of blood or other fluids are extracted by an external sampler (such as a needle) and sampled and/or analyzed external systems that examine the fluid to identify analytes of interests. Such techniques may make it difficult to provide longer, longitudinal analyses or continuous monitoring.
Further, such methods are typically not suitable for infants, disabled patients, patient suffering from needles fear and patients that need frequent body fluids sampling, mass monitoring and ordinary patients asking to spare the inconvenience that may be involved.
Described herein are apparatuses, including systems and devices, configured to secure one or more sensors against a soft tissue while remaining secured to a hard tissue. In particular, described herein are sensors and sensor holders that are configured to couple to a hard tissue, such as the teeth, for accessing a soft tissues, such as the gingiva. In general, these apparatuses, and methods of using them, may include an intraoral appliance, including but not limited to an aligner, that is configured to secure to a patient's teeth and hold one or more sensors, including in particular soft tissue sensors.
For example, described herein are devices including a hard tissue anchoring portion having a tooth-holding channel or region that is configured to fit over all or portion of a patient's dental arch, and a one or more sensors attached (removably or permanently attached) that extends from the hard tissue anchoring portion towards the soft tissue, such as the patient's gingiva. The sensor may include one or more microneedles for sampling from the soft tissue. For example, any of the apparatuses described herein may include a sensor having one or more microneedles for accessing to the patient's soft tissue.
The hard tissue anchoring portion generally removably attaches to the patient's teeth. The hard tissue anchoring portion may be configured as a dental appliance that can be applied and removed over the patient's teeth. The dental appliance may be an intraoral appliance that is configured to set securely onto the patient's dental arch. The dental appliance may be secured by friction fit, onto the teeth. The dental appliance may be secured to all, or substantially all, of the patient's teeth in the upper and/or lower jaw, or it may be secured to just a subset of the patient's teeth in the upper or lower jaw.
For example, described herein are intraoral, soft-tissue sensor systems that include: an intraoral appliance shaped to receive a patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth; a soft tissue sensor mounted to the intraoral appliance, wherein the soft tissue sensor comprises one or more microneedles projecting from the intraoral appliance that are configured to penetrate soft tissue adjacent to the patient's teeth when worn, wherein the soft tissue sensor is configured to detect at least one analyte through the one or more microneedles; and a bias coupled to the soft tissue sensor configured to apply a biasing force to the soft tissue sensor. The bias may be activated, so that the sensor and/or the microneedle is held further away from the gingiva when initially worn, and once the intraoral appliance is worn on the teeth, the bias may be triggered (activated) to extend the microneedle (which may generally include both tissue penetrating and non-penetrating microneedles) towards, against, and/or into the soft tissue such as the gingiva and/or palate.
The soft tissue sensor may be removably mounted to the intraoral appliance, or permanently mounted to the intraoral appliance. A soft tissue sensor may include a fluid sensor that is configured to sense a property (electrical, chemical, mechanical, etc.) from the soft tissue such as the gingiva, and/or saliva, interstitial fluid, lymph, or blood associated with the gingiva. For example, the soft tissue sensor may be a sensor that penetrates into the soft tissue, such as the gingiva, in order to detect and/or measure a property from within the tissue. Alternatively or additionally, the soft tissue sensor may be configured to sample a fluid from within the gingiva by penetrating the soft tissue (e.g., with one or more hollow or solid microneedles) and allow the fluid to make contact with the needle or an inner lumen of the needle. A soft tissue sensor may be an electrical sensor that is configured to contact the soft tissue (without penetrating or with penetrating) and measure one or more properties.
The soft tissue sensor may generally be positioned on the intraoral appliance so as to not interfere with the patient's bite when worn. For example, the sensor may be held on an outer buccal or lingual side of the appliance, but may avoid the occlusal surface. The soft tissue sensor may also be shaped so that when engaged with the appliance, it does not protrude or provide any abrupt and/or rough surfaces. For example, one or more outward-facing surfaces or sides of the soft tissue sensor may be smooth and/or curved so that the tongue does not scrape against it.
The soft tissue sensor, and particularly any portion mounted or configured to be mounted on the buccal side of the intraoral appliance, may be configured so as to blend in with the appliance and/or the patient's teeth. For example, the soft tissue sensor may be formed of a translucent or transparent material. Alternatively, the soft tissue sensor may be colored to match the teeth and/or the intraoral appliance.
The soft tissue sensor may be configured to passively sense analyte or to actively sense analyte. For example, the soft tissue sensor include an optical sensor that illuminates a portion of the tissue with a specific wavelength and receives reflected and/or transmitted light passing through the soft tissue, blood, lymph, interstitial fluid, and/or saliva. The soft tissue sensor may be configured to extract material from the soft tissue (e.g., blood, saliva, interstitial fluid, lymph, etc.). The soft tissue sensor may comprise a chemical, immunohistochemical, enzymatic, or other sensor. Optical sensors may include near- and mid-IR sensors, florescence sensors (e.g., FRET), optical coherence tomography sensors, spectrographic sensors, etc. An optical sensor may be coupled with the microneedle and/or may sample material from the microneedle. An optical fiber may be held with or within the microneedle.
Any of the soft tissue sensors described herein may be configured to deliver material to the soft tissue, e.g., through the microneedle.
In general, the microneedle may be any appropriate needle, hollow or solid, that is 1 millimeter or less in diameter (e.g., 0.9 mm or less, 0.8 mm or less, 0.7 mm or less, 0.6 mm or less, 0.5 mm or less, 0.4 mm or less, 0.3 mm or less, 0.2 mm or less, 0.1 mm or less, etc.). The microneedle may extend from a base or substrate by any appropriate length (e.g., between 0.5 mm and 5 cm, e.g., between 0.5 cm and 4 cm, between 0.5 mm and 3 cm, between 0.5 mm and 1 cm, between 0.5 mm and 9 mm, between 0.5 mm and 8 mm, between 0.5 mm and 7 mm, between 0.5 mm and 6 mm, between 0.5 mm and 5 mm, etc.). The microneedle may be fabricated from any appropriate material, including metal, silicon (or silicon dioxide), polymer, etc., including combinations of these.
In general, any of the apparatuses described herein may include a bias (e.g., spring, elastic, etc.) that is configured to hold or drive the sensor or a sensing portion of the sensor (e.g., microneedle) against the soft tissue or to otherwise maintain contact and/or penetration with the soft tissue. In some variations the apparatus includes a spring bias. Any spring bias may be included (e.g., coil spring, flat spring, serpentine spring, leaf spring, v-spring, etc., gas spring, etc.). The bias may be configured to apply a force, and particularly a continuous force, on the soft tissue sensor to hold the sensor against the patient's soft tissue. The spring may be configured to limit the maximum amount of force applied (e.g., to less than 1 N, less than 0.5 N, less than 0.1 N, etc.). The bias may be part of the sensor (e.g., on an outer surface of the sensor) or part of the intraoral appliance holding the sensor.
Any of the intraoral appliances described herein may be configured to couple to the teeth, as mentioned above. In addition, the intraoral appliance may be configured to couple to the palate (soft and/or hard palate). For example, any of the intraoral appliances described herein may include a palatal region covering all or a portion of the palate. Further, any of these apparatuses may include one or more temporary anchorage devices.
Any of these intraoral appliances may be configured to mount to the hard tissue, including the teeth. For example, any of these apparatuses may include one or more attachment sites on the intraoral appliance configured to couple with the one or more temporary anchorage devices. Attachments may be affixed to the outside (e.g., buccal and/or lingual sides) of a tooth or teeth, e.g., by bonding. The attachment may couple to an attachment receiver on the intraoral appliance. Alternatively or additionally, the intraoral appliance may be configured to screw into a tooth, including onto a prosthetic tooth.
Any appropriate soft tissue sensor may be used, and may be configured to detect one or more analytes. For example, the soft tissue sensor may be configured to detect one or more of: electrolytes (e.g., fluoride, sodium, etc.), pH, glucose level, hydration, white blood cell count, lactate level, an inflammatory marker, a bacterial marker, air flow during inhaling and/or exhalation; chemical content of air inhaled; chemical content of air exhaled; bad breath, alcohol level.
The intraoral appliance provide a stable base or frame against which the sensor(s) may be held to the soft tissue, allowing sable sensing from the soft tissue. The intraoral appliance may also permit one or more sensors to be attached at more than one location, allowing rotation of the position of the sensor within the patient's mouth, preventing or reducing irritation. For example, the apparatuses described herein may allow a sensor to be attached to the intraoral appliance at a first position that allow sampling from a first region of the patient's mouth (anterior, etc.). The same sensor or a different sensor, including a different sensor of the same type (e.g., also including a microneedle) may then be moved, in the same intraoral appliance or another intraoral appliance, relative to the first positon, to a second position, allowing sampling of a separate region of the patient's mouth for a second time period (e.g., until removal of the intraoral appliance, such as one hour, 2 hours, 3 hours, 4 hours, 5 hours, 12 hours, 1 day, 2 days, 3 days, etc.).
Also described herein are methods of using any of the apparatuses described herein, including in particular, described herein are methods of monitoring (including methods of continuously monitoring) or detecting an analyte from a patient's soft tissue. For example, a method of detecting an analyte from a patient's soft tissue may include: placing an intraoral appliance onto the patient's teeth so that the patient's teeth are secured within a cavity of the intraoral appliance; biasing a soft tissue sensor mounted to the intraoral appliance against the soft tissue, wherein the soft tissue sensor comprises one or more microneedles projecting from the intraoral appliance, further wherein biasing comprises applying a biasing force to the soft tissue sensor to penetrate a soft tissue adjacent to the patient's teeth; and sensing an analyte through the one or more microneedles.
As mentioned, biasing may comprise applying a continuous force. The biasing force may be variable or constant. For example, biasing may comprise applying a continuous force from a spring. The method of sensing the analyte may comprise detecting one or more of: air flow during inhaling and/or exhalation; chemical content of air inhaled; chemical content of air exhaled; bad breath, alcohol level, glucose level, an inflammatory marker, or a bacterial marker.
Other apparatuses described herein may include intraoral, soft-tissue sensor systems in which the sensor (e.g., a sensor with one or more microneedles) may removably attached from the hard-tissue secured portion, e.g., an intraoral appliance. For example an intraoral soft-tissue sensing system may include: an intraoral appliance shaped to receive a patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth; and a soft tissue sensor detachably mounted to the intraoral appliance, wherein the soft tissue sensor comprises one or more microneedles projecting from the intraoral appliance that are configured to penetrate soft tissue adjacent to the patient's teeth when worn, wherein the soft tissue sensor is configured to detect at least one analyte from the patient's soft tissue through the one or more microneedles.
Any of these apparatuses may be configured to lock or otherwise secure the soft tissue sensor to the intraoral appliance. The intraoral appliance may include a snap, claps, strap, button, or any other fastener that may be used to secure the sensor in a fixed position in/on the intraoral appliance. The lock may be releasable or not releasable (e.g., single-use, etc.).
Any of the variations described above, may be incorporated into the apparatuses having a removable sensor.
Also described herein are intraoral, soft-tissue sensor systems that are configured to receive a sensor, but which do not include the sensor. For example, the sensor may be provided by a third party that uses the apparatus described herein to hold the sensor. For example, any of the apparatuses described herein may be configured to include a mount, which may have a standard or typical size, for receiving a sensor, so as to hold the sensor in stable position (relative to the hard tissue, e.g., teeth) for sensing from a soft tissue. The holder may be configured to releasably hold the sensor. For example, described herein are intraoral, soft-tissue systems (configured a stable sensor mounts) including: an intraoral appliance shaped to receive a patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth; and a soft tissue sensor mount on an outer surface of the intraoral appliance, wherein the soft tissue sensor mount is configured to detachably mount a soft tissue sensor to the intraoral appliance. Optionally, any of these apparatuses may include a soft tissue sensor configured to mount to the soft tissue sensor mount so that one or more microneedles project from the intraoral appliance to penetrate soft tissue adjacent to the patient's teeth when the intraoral appliance is worn by the patient. The soft tissue sensor may be configured to detect at least one analyte from the patient's soft tissue through the one or more microneedles.
For example, an intraoral, soft-tissue sensor system customized to fit a patient's dentition may include: a plurality of intraoral appliances, wherein each intraoral appliance is shaped to receive the patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth, further wherein each intraoral appliance is divided up into a plurality of regions; a soft tissue sensor mounted on each of the intraoral appliances, wherein the soft tissue sensor mounted on each of the intraoral appliances comprises one or more microneedles projecting from the intraoral appliance to which it is mounted, wherein the one or more microneedles are configured to penetrate soft tissue adjacent to the patient's teeth when worn to detect at least one analyte through the one or more microneedles; and wherein the soft tissue sensor mounted on each of the intraoral appliances is mounted to a different regions of each of the intraoral appliances compared to the other intraoral appliances in the plurality of intraoral appliances.
As mentioned above, any of the intraoral appliances in the plurality of intraoral appliances may include a bias coupled to the soft tissue sensor mounted on the intraoral appliance, wherein the bias is configured to apply a biasing force to the soft tissue sensor to secure the soft tissue sensor against and/or in the soft tissue when worn.
The different regions of the plurality of regions may be separated from each other by any appropriate distance. For example, the different regions of the plurality of regions may be separated from each other by a separation of greater than 0.5 mm (e.g., greater than about: 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm, 1 mm, 1.1 mm, 1.2 mm, 1.3 mm, 1.4 mm, 1.5 mm, 2 mm, etc.).
The plurality of intraoral appliances may be arranged in an ordered sequence such that, after the first intraoral appliance in the sequence, the region to which the soft tissue sensor is mounted in each subsequent intraoral appliance in the ordered sequence are not adjacent to the region to which the soft tissue sensor is mounted in the proceeding intraoral appliance in the ordered series.
In any of these intraoral appliances, the cavity may be configured to hold the patient's upper or lower arch. As mentioned above, each intraoral appliance of the plurality of intraoral appliances may include a palatal region configured to be positioned adjacent to the patient's palate when worn (either touching or not touching, e.g., separately by a distance of greater than about 0.1 mm, 0.2 mm, 0.3 mm, 0.4 mm 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm, 1 mm, etc.).
Any of the intraoral appliance described herein (including those of a series, e.g., plurality of intraoral appliances) may be configured to receive the patient's molar tooth or teeth, and/or the patient's incisor tooth or teeth, and/or the patient's canine tooth or teeth.
Also described herein are systems including a plurality of intraoral appliances in which each of the appliances includes a different sensor mount location. For example, an intraoral, soft-tissue sensor system customized to fit a patient's dentition may include: a plurality of intraoral appliances, wherein each intraoral appliance is shaped to receive the patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth, further wherein each intraoral appliance is divided up into a plurality of regions extending along the length of the intraoral appliance; a soft tissue sensor mount on an outer surface of each of the intraoral appliances of the plurality of intraoral appliances, wherein each soft tissue sensor mount is configured to detachably secure a soft tissue sensor to the intraoral appliance, further wherein the soft tissue sensor mounts on each of the intraoral appliances are located on different regions of each of the intraoral appliances compared to the locations of the soft tissue sensor mounts on each of the other intraoral appliances in the plurality of intraoral appliances.
For example, described herein are system wherein the soft tissue sensor mounts on each of the different intraoral appliance mounting locations and each intraoral appliances comprises a bias configured to couple to a soft tissue sensor and to apply a biasing force to the soft tissue sensor.
Any of these apparatuses (including these systems) may include a soft tissue sensor configured to mount to the soft tissue sensor mounts of each of the plurality of intraoral appliances so that one or more microneedles of the soft tissue sensor project to penetrate soft tissue adjacent to the patient's teeth when the intraoral appliance is worn by the patient, further wherein the soft tissue sensor is configured to detect at least one analyte from the patient's soft tissue through the one or more microneedles.
The novel features of the invention are set forth with particularity in the claims that follow. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:
Oral sensors, and particularly soft-tissue sensors, may be used as part of an apparatus (e.g., system, device, etc.) to detect and/or monitor one or more factors relevant to a patient's health. When using a soft-tissue sensor to monitor patient health it may be helpful to hold the sensor, and particularly a microneedle associated with the soft-tissue sensor in stable contact with the soft tissue. Described herein are intraoral, soft-tissue sensor systems that may be used to hold a soft tissue sensor in contact with the gingiva.
In general, the soft tissue sensor systems described herein may include an intraoral appliance shaped to receive a patient's teeth within a cavity and to secure the intraoral appliance against the patient's teeth. The intraoral appliance may be configured to fit snugly over all or a portion of a patient's teeth in the patient's upper or lower arch. The cavity in the intraoral appliance may be formed as a negative of the patient's dentition in the patient's upper or lower arch. The intraoral appliance may be formed of any appropriate material (including polymeric material, and clear or transparent materials), and may be formed in any appropriate manner. For example, the intraoral appliance may be fabricated by a lamination technique (e.g., vacuum forming), or by an additive (e.g., 3D printing) method or casting into a mold or by milling from a block of appropriate material. A combination of multiple such fabrication techniques may also be used.
In general, the intraoral appliance is configured to hold a soft tissue sensor, and may therefore include a mount to secure the soft tissue sensor in or on the intraoral appliance. The mount may include a lock or other securement to hold the soft tissue sensor in place. Any of the soft tissue sensor systems described herein may optionally include a soft tissue sensor that is mounted to the intraoral appliance, e.g., in a soft tissue sensor mount. The soft tissue sensor may include one or more microneedles that will project from the intraoral appliance when the soft tissue sensor is coupled with the intraoral appliance. The microneedles may be configured to penetrate soft tissue adjacent to the patient's teeth when the intraoral appliance is worn on the patient's teeth. As mentioned, any appropriate soft tissue sensor may be used. In general, the soft tissue sensor may be configured to detect at least one analyte through the one or more microneedles.
For example,
In
Note that in any of the soft tissue sensor systems described herein, the intraoral appliance may be formed or customized to the patient who will be wearing the apparatus.
In addition, any of the soft tissue sensor systems described herein may include a bias (e.g., coupled to the soft tissue sensor and/or a portion of the soft tissue sensor that is configured to apply a biasing force to the soft tissue sensor.
In
In any of these variations, the soft tissue sensor may include a probe, rather than, or in addition to, a microneedle. For example, the soft tissue sensor may include one or more electrical probes that extends down to or into the gingiva, in order to transmit and/or receive electrical signals from the tissue. Alternatively, the microneedle may be configured as a probe.
Alternatively or additionally, the bias may be configured to permit a microneedle/probe to push up on the sensor, without penetrating the soft tissue, while maintaining the probe in good (e.g., electrical) contact with the tissue. For example the bias on the upper side of the mount may provide only a very low level of force, so that the pressure on the microneedle or probe may be less that that required to penetrate the tissue.
In some variations, the sensor itself (without necessitating a separate ‘probe’ or needle portion) may be drive against the soft tissue when held by the intraoral appliance. For example, the senor may include a sensing surface (e.g., electrode, etc.). The bias on the intraoral soft tissue sensing system may drive the sensor against the soft tissue.
The soft tissue sensors shown corresponding to the mounts shown in
In general, any of the sensors described herein may include a non-penetrating microneedle, which may be referred to as a probe, that is configured to be in contact with the soft tissue without penetrating the tissue.
In any of these variations, the outer surfaces of the mount may be configured to form a smooth and/or continuous surface with the intraoral appliance. Any of these mounts may be formed integrally with the intraoral appliance, or they may be separately attachable to the intraoral appliance.
As mentioned above the biasing in any of these variations may be configured to be activatable, so that a basing force (e.g., driving the microneedle(s) and/or sensors down into or onto the tissue) may be applied only after activating the device, e.g., when the device has been seated onto the patient's teeth.
The microneedles may be retracted by disengaging the bias 311, as shown in
In general, any appropriate bias may be used, including mechanical (e.g., spring, coil spring, leaf spring, etc.), electrical/magnetic (e.g., solenoid, electromagnet, etc.), pneumatic, liquid, etc. The type of bias chosen may determine the activation/inactivation means used.
Long term monitoring may be possible with any of the intraoral, soft-tissue sensor systems described herein. In particular, any of the methods and apparatuses described herein may include a series of intraoral, soft-tissue sensor system that may be worn sequentially, as shown in
Alternatively, the same apparatus, which may be configured to move the mount for the sensor and/or may have a plurality of mounts on the intraoral appliance body, may be used. After the desired wearing time period, the apparatus may be removed from the patient's mouth and the sensor(s) moved to a different location on the apparatus.
As mentioned above, any appropriate sensor may be used. For example the sensor may be configured with a hollow microneedle (or multiple hollow microneedles), a bio-receptor portion to bind and/or otherwise interact with a target analyte and a signal transducer to convert the binding/interaction into a discernable signal that may be converted into an electrical output and sent to a detector, for further processing.
Any of the apparatuses described herein may be configured as intraoral (or “oral”) sensors that may be held in continuous contact with the soft tissue, such as the gums (gingiva), and/or palate. These apparatuses may include or be configured for use with one or more microneedles that may be immersed in the tissue or may contact the tissue. Microneedles may be used to measure passively, deliver signals actively, and/or deliver and extract materials from and to the body. Typically, the sensor may be held in place via an appliance attached to the teeth. A bias, such as a spring (or spring-like) mechanism may be used to apply a continuous force on the senor to keep the sensor in place, as described above. The sensor may be detachable (from the appliance) and may optionally be configure so as to not interfere with the patient's bite. Additionally the apparatus, including the sensor or a portion of the sensor may be formed of a transparent and/or translucent material. Any of these apparatuses may be configured so that they may be supported in the mouth using a mini implant (e.g., TAD), and/or a screw to a prosthetic tooth, and/or an attachment on one or more of the patient's teeth.
For example, any of the apparatuses described herein may be configured to actively apply energy (e.g., current) to the soft tissue via one or more contacts, including the microneedle/probes described herein. Thus, a sensor included as part of the intraoral, soft-tissue sensor systems described herein may be configured to deliver/transmit a stimulation, including (but not limited to) electrical stimulation. For example, a sensor may be configured to transmit a low level current to the soft tissue. A current may be applied, for example, to activate the patient's senses and/or to directly activate the patient's muscles. This may be therapeutically useful to treat snoring or apnea in variations configured to detect snoring or apnea, as it may encourage or cause the airways of a sleeping patient to open, e.g., when snoring. Other materials, including drugs, or active chemical agents, may be released by the apparatus in response to a sensed condition. One or more drugs could be delivered from the same needle (e.g., microneedle) used for sensing, or a separate one or more microneedles could be used. For example, a sensor configured to detect a patient condition such as insulin level in a diabetic patient wearing the device could be administered a small amount of insulin through the same of a different microneedle in contact with the soft tissue within the oral cavity. This may allow both continuous glucose monitoring (e.g., via a sensor and microneedle(s)) and potentially may allow immediate delivery of insulin via the same apparatus. Alternatively, the intraoral system may communicate with (or include) a separate drug pump for delivery of drug (e.g., insulin, etc.).
Any of the apparatuses described herein may be configured to deliver a drug, including in particular, delivering a drug based on a sensed need for the drug.
In addition, the apparatuses described herein may be configured to sense from other portions of the patient's oral cavity, in addition or instead of the soft tissue. For example, the sensors used may include sensors configured to measure or detect air flow due to inhaling and exhalation, and/or may analyze the inhaled gas and warn for toxic or harmful substances, and/or may analyze air exhaled by the patient and warn for issues that may be detected by sensed analytes, and/or analyze breath rates, pacing, etc., and/or detect and warn of halitosis, and/or detect alcohol level.
Any of the methods (including user interfaces) described herein may be implemented as software, hardware or firmware, and may be described as a non-transitory computer-readable storage medium storing a set of instructions capable of being executed by a processor (e.g., computer, tablet, smartphone, etc.), that when executed by the processor causes the processor to control perform any of the steps, including but not limited to: displaying, communicating with the user, analyzing, modifying parameters (including timing, frequency, intensity, etc.), determining, alerting, or the like.
For example, any of the sensors described herein may be configured to communicate in one-way or two-way communication with a remote (e.g., external) device, such as an external processor (e.g., smartphone, computer, wearable electronics, pad, etc.). Alternatively or additionally, any of these sensors may be configured to communicate with a processor on or in the intraoral appliance. The communication may be via a wired connection or a wireless connection; the processor in/on the intraoral appliance may store, modify, and/or send/receive data from the sensor. Thus any of these sensors and/or components in the intraoral soft tissue sensor system (including a processor or processors) may include wireless communication circuitry (e.g., WiFi, Bluetooth, Zigbee, etc.). Any of these apparatuses may also include power (e.g., battery, power control circuitry, inductive power/charging, etc.).
Any of the soft tissue sensors including one or more microneedles described herein may be used with or integrated into an orthodontic apparatus as described herein and may include a sensor (e.g., biosensor) configured to be positioned in a subject's oral cavity, including but not limited to a soft tissue, and an electronics system in communication with the sensor, where the electronic system includes one or more of: a signal amplifier, a signal conditioner (e.g., filter, averaging, etc.), processor, memory (e.g., data logging unit), power source (e.g., battery, capacitor, etc.) and data communications (e.g., wired or wireless communications, such as Bluetooth, Wifi, Zigbee, RFID, ultrasound, or the like). The sensor may convert a biomarker detection into an electrical signal, and may include a bioreceptor and a biotransducer. The bioreceptor may be configured to interact with a specific analyte or subset of analytes and produce a measurable signal (optical, chemical, mechanical, thermal, electrical, or some combination of these) that is transduced by the biotransducer into an electrical signal that can be processed (amplified, filtered, averaged, combined, etc.) by the electronic subsystem. The electronic subsystem may be an integrated system (e.g., a CMOS-based microprocessor). All or some of these components may be on or part of an oral appliance, such as an aligner, brace, palatal expander, etc.
For example,
As schematically illustrated in
Any appropriate biomarker or biomarkers may be used. Biomarkers may be biomolecules or byproducts of biomolecules that are present in the oral cavity (including saliva, GCF, and/or breath) and/or contaminants that may be present in the oral cavity, such as bacteria, yeast, etc. Biomolecules of particular interest include those that change in response to movement of the teeth due to an orthodontic procedure. For example, Table 1, below lists examples of biomarkers that may be tested using the biosensor apparatuses described herein. For example in Table 1, protein biomarkers include Protein S100-A9 (e.g., S100 calcium-binding protein A9, Calgranulin-B), Serum albumin precursor, Immunoglobulin J chain, Ig alpha-1 chain C region, Cysteine-rich secretory protein 3 precursor (CRISP-3), Hemoglobin subunit beta (Hemoglobin beta chain, Beta-globin), and 14-3-3 protein σ (Stratifin, Epithelial cell marker protein 1).
Any of the apparatuses and methods described herein may target biomarkers present in gingival crevicular fluid (GCF), which may be collected by any of the microneedles described herein. In general, various molecules are capable of passing through gingival sulcular epithelium and may filter into GCF. Many of these molecules are associated with remodeling of paradental tissues during situations such as normal maintenances, periodontal diseases and Orthodontic treatment. The collection and analysis of GCF is a non-invasive procedure that may be useful information on the nature and extent of the periodontal response to mechanotheraphy and orthodontic treatments. The apparatuses and methods described here may be configured and/or adapted to collect GCF. For example any of the apparatuses described herein may include one or more microneedles projecting and extending between the teeth and gingiva (e.g., penetrating to a depth of 0.5 mm, 1 mm, 2 mm, 3 mm, 4 mm, 5 mm, 6 mm, etc.). The microneedle may be fixed or extendable as described above.
Modified or enhanced cellular activities during orthodontic tooth movement can be found in GCF of treated teeth. Additional biomarkers that may be examined, e.g., in GCF and/or saliva include prostaglandin E (PGE) (elevated prostaglandin E (PGE) levels in GCF 1 day after application of mechanical stimuli has been detected), cytokines, including IL-6 and IL-8, TNF-α, Hyaluronic acid, chondroitin sulphate, IGF, Acid phosphatase, Aspartate aminotransferase, Alkaline phosphatase (ALP), Lactate dehydrogenase, Collagenase, Matrix metalloproteinases (e.g., MMP-1, MMP-2 and MMP-8), Cathepsin B, TRAP, Osteocalcin, Osteonectin, Osteopontin and dentin sialoprotein. For example, a correlation has been found between the velocity of tooth movement and increase in concentrations of cytokine and its receptor antagonist. IL-6, IL-8 levels in GCF after force application has been shown. Increased level of TNF-α in GCF after force application which peaked at day 1 has been shown. Studies demonstrated elevated Hyaluronic acid in all GCF samples and chondroitin sulphate levels in GCF increased greatest in teeth that moved most. IGF (bone remodeling marker) may be elevated, and its binding protein levels in GCF, 4 h after mechanical stimulation. Acid phosphatase and Aspartate aminotransferase levels after force application are higher on compressed side compared to tension side in GCF. Alkaline phosphatase (ALP) levels are higher on tension side compared to compression side. Lactate dehydrogenase levels are higher on compression side whereas Collagenase levels are elevated on both mesial and distal sides after mechanical stimulus. Matrix metalloproteinases (MMPs) (MMP-1, MMP-2 and MMP-8) show elevated levels on compressed side than on tension side. Elevated levels of Cathepsin B, an indicator of ECM degradation, were demonstrated in GCF 1 day after force application. Elevated levels of TRAP in GCF on the compression side after force application has been shown. Osteocalcin, a bone turnover marker, may be elevated in GCF of patients with periodontal breakdown. Elevated levels of Osteonectin and Osteopontin have been detected in GCF with progressive increase in periodontal breakdown. Elevated levels of dentin sialoprotein in GCF samples of teeth at 12 weeks following commencement of fixed appliance therapy have also been demonstrated.
For example, the apparatuses and methods described herein may be configured to detect one or more of the following biomarkers. In some variations, these biomarkers may be detected from the saliva and/or the gingival crevicular fluid (GCF). These biomarkers may be particularly helpful in detecting tooth remodeling or movement. The levels of one or more of these biomarkers may be detected and tracked over the course of a treatment to adjust or modify an orthodontic treatment. For example, one of more markers for inflammation, remodeling and/or enzymes (e.g., enzymes associated with bone resorption, formation, cell necrosis, collagen remodeling, etc.) may be detected. Examples of makers for remodeling of the teeth may include: Glycosaminoglycans (e.g., in GCF), including hyaluronic acid and a minor band of chondroitin sulfate, Pyridinium derivatives (e.g., pyridinoline and deoxypyridinoline), Pentraxin-3, also known as tumor necrosis factor (TNF)-stimulated gene 14 (TSG-14), N-telopeptide type 1 and osteocalcin, Osteocalcin, and Matrix metalloproteins (MMPs) 1 and 8. Markers for inflammation may include: Prostaglandin E (PGE2), Neuropeptides (calcitonin related gene peptide and substance p), Transforming growth factor-α1, Epidermal growth factor (EGF), α2 Microglobulin (α2MG), insulin-like growth factor-1, Interleukin-1 (receptor antagonist) (IL-1) 1β, 2, 6, 8 cytokines, Tumor necrosis factor-α, Macrophages colony stimulating factors, TNF-related ligand receptor activator of nuclear factor-kappa ligand (RANKL) and its two receptors, receptor activator of nuclear factor-kappa (RANK), and osteoprotegerin (OPG), and Myeloperoxidase (MPO). Markers of root resorption may include: dentine matrix protein 1, dentin phosphoprotein (DPP), and dentin sialoprotein (DSP). Enzymes and enzyme inhibitors may include: Cathepsin B, Acid phosphatase (ACP) and alkaline phosphatase (ALP), β-Glucuronidase (βG), Aspartate aminotransferase (AST), and lactate dehydrogenase.
As mentioned above, any of the biosensors described herein may include a bio-recognition component, a biotransducer component, and electronic system which may include a signal amplifier, processor, data logging units and data communication unit. In some instances, transducers and electronics can be combined such as in CMOS-based microsensor systems. The recognition component may be called a bioreceptor, may use a biomolecule from organisms or receptors modeled after biological systems to interact with the analyte of interest. This interaction may be measured by the biotransducer which outputs a measurable signal proportional to the presence of the target analyte in the sample. The processor can log the raw or processed data in the memory unit or transmit it to a receiver. The system can work actively if energized with battery, super-capacitor, or an energy harvesting unit, or it may perform passively upon being energized via induction using an external device, such as cell phone.
In any of the biosensors described herein, the bioreceptor may be configured to interact with the specific analyte of interest to produce an effect measurable by the transducer. The bioreceptor may have a high selectivity for the analyte among a matrix of other chemical or biological components. While the type of biomolecule used may vary widely, biosensors may be classified according to common types of bioreceptor interactions involving, e.g., interactions such as: antibody/antigen, enzymes/ligands, nucleic acids/DNA, cellular structures/cells, or biomimetic materials. The bioreceptor may be configured to engage in one or more of these interactions (e.g., may include a bound or engineered antibody, enzyme, nucleic acid sequence, protein or engineered protein, etc.) in a localized manner that may be interrogated by or communicated to the biotransducer.
For example, a biosensor as described herein for use with an oral appliance may be configured to take advantage of an antibody/antigen interaction with one or more of the biomarkers described herein. Thus, the biosensor may be configured as an immunosensor. An immunosensor may utilize the very specific binding affinity of antibodies for a specific compound or antigen. The specific nature of the antibody antigen interaction is analogous to a lock and key fit in that the antigen will only bind to the antibody if it has the correct conformation (proper selection of primary and secondary antibodies). Binding events result in a physicochemical change that, in combination with a tracer, such as fluorescent molecules or enzymes, can generate a signal such as an elevation in voltage that can be detected by electronic components. Binding may be detected optically (e.g., by color, or transmission) and/or electrically.
Also described herein are biosensors that include enzymatic interactions. For example, analyte recognition may be enabled through: (1) an enzyme converting the analyte into a product that is sensor-detectable, (2) detecting enzyme inhibition or activation by the analyte, or (3) monitoring modification of enzyme properties resulting from interaction with the analyte. Since enzymes are not consumed in reactions, the biosensor may be used continuously. The catalytic activity of enzymes may also lower limits of detection compared to common binding techniques.
Other biosensing techniques that can be used may include detecting nucleic acid interactions, detecting epigenetic modifications, cell based, and tissue based detection.
As mentioned above, a biotransducer may be electrochemical, optical, electronic, piezoelectric, gravimetric, and/or pyroelectric-based.
Although the examples shown above indicate that the microneedle(s) are extending from an outer surface of the aligner, in some variations some or all of the microneedles may extend from an inner surface of the aligner and into the gingiva or may sample from the saliva above the gingiva. In particular, the one or more microneedles may be configured to sample from the space between the patient's teeth.
In addition to the biosensors described above, also described herein are sensors configured to determine stress-induced bioelectric potentials on the teeth. Stress-induced bioelectric potentials may regulate alveolar bone remodeling during orthodontic tooth movement. For example, the force, F, applied to the labial surface of the lower incisor that displaces the tooth in its socket, deforming the alveolar bone convexly towards the root at the leading edge, may produce concavity towards the root at the trailing edge. Concave bone surfaces characterized by osteoblastic activity are electronegative; convex bone surfaces characterized by osteoclastic activity are electropositive or electrically neutral. Measuring the electrical charge on the teeth surface, may be used to determine the tooth movement rate and direction. Such data can be used to conduct a closed-loop orthodontic treatment. For example, any of the methods an apparatuses described herein may measure or detect the electrical charges from the surface of different regions of a subject's teeth. An apparatus may include a plurality of electrodes within the concavity of an aligner, or a plurality of electrical contacts for contacting electrodes attached to the teeth, e.g., attached to one or both of the buccal and lingual sides of any of the teeth that are being moved by the orthodontic appliance. The apparatus may include the electrical system that is configured to receive these surface charge readings and may store, transmit (e.g., wireless) or analyze these signals, e.g., in the electrical system or remotely, to determine and/or evaluate forces on the teeth and tooth movement.
Also described herein are systems and apparatuses for determining one or more indicator of the patient's heath. For example, any of these methods and apparatuses may include a sensor configured as a physiological sensor to detect one or more subject physiological state. For example, any of the apparatuses or methods described herein may measure (e.g., using a physiological sensor) one or more of: electrocardiogram (ECG), bio-impedance, blood oxygenation, galvanic skin response, heart rate, body temperature, respiration (including respiration rate), or the like. For example, any of these apparatuses may include an ECG sensor (e.g., one-point ECG electrode), a thermistor, a bio-impedance sensor, a photoplethysmogram sensor, a galvanic skin response sensor, etc., including electronics to support such sensor(s). These sensors can be utilized by themselves or with any other sensor, including one or more of the biosensors described herein. As with any of the biosensors and sensors described herein, these sensors may be used to detect or determine compliance (e.g., use of the aligners) while they generate health information of the patient. For instance, a photoplethysmogram (PPG) sensor may measure blood-volume changes in the blood tissue. A plethysmogram is volumetric measurement of an organ. This technique is non-invasive and may be obtained by illuminating light into the body and measuring the change in light absorption. In the current invention, this technique may be applied within the intraoral cavity. A plethysmography sensor can be incorporated in an orthodontic appliance (e.g., aligner) to determine the blood volume change in a cheek or within an extended gingiva segment near or under the appliance to detect blood volume change in gingiva.
Alternatively or additionally, a galvanic skin response (GSR) sensor may be used to measure conductivity of intraoral tissues. Conductivity may change with both changes in the underlying amount of minerals released onto the outer surface of tissues from glands.
Also described herein are methods and apparatuses for detecting and/or analyzing breath. For example any of the apparatuses described herein may be used to detect and/or diagnose disease. For instance, lung and breath cancers may be detected via analysis of the breath, e.g., by identifying particular breath volatile organic compounds (B VOCs) that differ between patients with non-small cell lung cancer (NSCLC) and subjects without the disease. Other sensors that detect cancer at early stages via, for instance, measuring chemical components of breath during exhale. Exhaled breath contains both volatile and non-volatile organic compounds, which vary between healthy individuals and those with lung cancer.
The apparatuses and methods described herein may also be configured to detect halitosis (bad breath). Halitosis may arise from inside the mouth and/or due to a disorders in the nose, sinuses, throat, lungs, esophagus, or stomach. Bad breath may also be due to an underlying medical condition such as liver failure or ketoacidosis. Halitosis may also arise from an underlying disease such as gum disease, tooth decay, or gastroesophageal reflux disease.
By far the most common causes of halitosis are odor producing biofilm on the back of the tongue, below the gum line, and in the pockets created by gum disease between teeth and the gums. This biofilm results in the production of high levels of foul odors produced mainly due to the breakdown of proteins into individual amino acids, followed by the further breakdown of certain amino acids to produce detectable gases. Volatile sulfur compounds are associated with oral malodor levels, and usually decrease following successful treatment. The intensity of bad breath may differ during the day, due to eating certain foods (such as garlic, onions, meat, fish, and cheese), smoking, and alcohol consumption. The odor may be worse upon awakening and may be transient or persistent (e.g., chronic bad breath).
The apparatuses and methods described herein may be configured to detect one or more compounds or markers for bad breath (e.g., above a target threshold) that may indicate bad breath, and may alert the wearer, track, store, and/or transmit detected levels. Markers that may be detected by the apparatuses described herein may include indole, skatole, polyamines, volatile sulfur compounds (VSCs) such as hydrogen sulfide, methyl mercaptan, allyl methyl sulfide, and dimethyl sulfide. In some variations the apparatus may detect one or more bacterial markers arising due to halitosis-producing bacteria. Bacteria that cause gingivitis and periodontal disease (periodontopathogens) may be gram negative may produce VSC. Methyl mercaptan is known to be a contributing VSC in halitosis that and may be caused by periodontal disease and gingivitis.
These apparatuses may also be used to determine, detect and/or diagnose other dental issued, including gum disease. For example, the level of VSC on breath has been shown to positively correlate with the depth of periodontal pocketing, the number of pockets, and whether the pockets bleed when examined with a dental probe. VSC may themselves contribute to the inflammation and tissue damage that is characteristic of periodontal disease. Markers for halitosis may also suggest or indicate infection (e.g., oral infection), oral ulceration, stress/anxiety, menstrual cycle (e.g., at mid cycle and during menstruation, increased breath VSC has been reported), or the like. Any of the methods and apparatuses described herein may also or alternatively be used to detect or determine (and/or aid in treatment) of any of these indications.
For example, a dental apparatus including a sensor may be configured to detect sulfide (e.g., sulfur emissions) from the patient's breath, saliva and/or GCF. For example, the sensor may be configured to detect hydrogen sulfide. Alternatively or additionally, the apparatus may be configured to detect methyl mercaptan, and dimethyl sulfide. In some variations the sensor may be configured to detect a salivary levels of an enzyme indicating the presence of certain halitosis-related bacteria, such as β-galactosidase.
Any of the apparatuses described herein may include microfluidics (e.g., lab-on-a-chip) components. Microfluidics may be used as part of the biosensor, for example, including channels for acquiring a biological fluid (e.g., saliva and/or GCF), processing the fluid (e.g., combining with one or more reagents and/or detecting an interaction with a biomolecule, etc.). The microneedles may be coupled to any of the microfluidics components.
Also included herein is the use of one or more bio sensors (e.g., integrated with an orthodontic appliance such as an aligner) to detect either a protein or DNA component of an allergen. See, e.g., Alves et al., describing a biosensor system for food allergen detection (e.g., Alves et al. 2015. DOI: 10.1080/10408398.2013.831026). As described herein, biosensors are well-suited to automation and their ability to detect multiple analytes in one test with minimal sample preparation and may be used to conduct in vivo detection and detect the presence of food allergens in close to real-time. For example, surface plasmon resonance (SPR)-based biosensors, typically used to the fast detection of egg-related fining allergens in wines, can be integrated with any of the orthodontic appliances (e.g., aligners) described herein to allow rapid detection the presence of egg white allergens at concentrations between 0.03 and 0.20 μg/mL.
Any of the methods (including user interfaces) described herein may be implemented as software, hardware or firmware, and may be described as a non-transitory computer-readable storage medium storing a set of instructions capable of being executed by a processor (e.g., computer, tablet, smartphone, etc.), that when executed by the processor causes the processor to control perform any of the steps, including but not limited to: displaying, communicating with the user, analyzing, modifying parameters (including timing, frequency, intensity, etc.), determining, alerting, or the like.
In general, the methods and apparatuses described herein may be used for monitoring the progress of appliance-based orthodontic treatment and/or compliance. Generally, a monitoring apparatus may include one or more biosensors and/or sensors (e.g., physiological sensors) configured to generate sensor data; this data may be related to repositioning of a patient's teeth using an orthodontic appliance. The biosensor and/or sensor data can be processed and analyzed to determine whether the appliance is successfully repositioning the teeth according to prescribed treatment plan. Advantageously, also described herein are integrated electronic sensing and logging systems capable of generating more reliable and accurate aligner performance data, which may be used by the treating practitioner to track treatment progress and adjust the patient's treatment plan if desired. The monitoring devices of the present disclosure can provide high value sensing data useful for adaptive closed-loop treatment planning and appliance design.
Monitoring performance of an orthodontic appliance for repositioning a patient's teeth is described. The apparatus can comprise an orthodontic appliance comprising one or more teeth-receiving cavities shaped to reposition the patient's teeth from an initial arrangement towards a target arrangement. The device can comprise one or more sensors configured to generate sensor data related to the repositioning of the patient's teeth by the orthodontic appliance. The device can comprise a processor configured to process the biosensor/sensor data in order to evaluate the performance of the orthodontic appliance in effecting the repositioning of the patient's teeth.
The performance of the orthodontic appliance can be measured in a variety of ways. For example, the processor may be configured to evaluate the performance of the orthodontic appliance by using the biosensor and/or sensor data to determine one or more of: an amount of force or pressure applied to the patient's teeth, a distribution of force or pressure on the patient's teeth, an amount of movement of the patient's teeth, or a movement rate of the patient's teeth, and/or the phase of movement of the patient's teeth (e.g., initial phase, a lag phase, and a post-lag phase, etc.).
The performance of the orthodontic appliance can determine one or more of: determining if movement is happening, what phase of tooth movement the patient is experiencing, and/or the rate of tooth movement. This information may be processed on the orthodontic appliance itself or off of the appliance (in a remote processor, etc.) and communicated to the dental professional and/or patient. This information may be used to adjust the treatment plan, including instruction removal of an orthodontic appliance (e.g., a removable orthodontic appliance/device) ahead of a scheduled removal, leaving the orthodontic appliance on longer than a scheduled removal date, or maintaining the scheduled removal/replacement date. In some variations the information (e.g., the information derived by monitoring the level of one or more biomarkers using the biosensors) may be used to modify the treatment plan by triggering replacement of one or more devices (aligners) within a planned sequence of removable orthodontic appliances.
In addition to the biosensors described herein, any of these methods and apparatuses may include a force or pressure sensor configured to measure force or pressure applied to one or more teeth by the orthodontic appliance. A force or pressure sensor can comprise a force- or pressure-sensitive film, a resistive film, a capacitive film, or a piezoelectric tactile sensor. The processor can be configured to evaluate the performance of the orthodontic appliance by determining whether an amount of force or pressure applied to the patient's teeth by the orthodontic appliance is within a targeted range. Any of these sensors may be used in combination with one or more biosensor, e.g., to confirm or estimate movement of the teeth.
A movement sensor may be included and configured to measure movement of one or more teeth. A movement sensor can comprise an electromagnetic field generator configured to generate an electromagnetic field. A movement sensor can be configured to measure the movement of the one or more teeth by measuring changes to the electromagnetic field. For instance, a movement sensor can comprise one or more electromagnetic targets arranged to move in response to the movement of the one or more teeth, such that movement of the one or more electromagnetic targets produces changes to the electromagnetic field.
Any of the apparatuses described herein may include a plurality of different biosensor and/or sensors operably coupled to different portions of the orthodontic appliance. The same or different microneedles may be coupled with one or more different biosensors. Any or all of these biosensors/sensors and microneedles can be integrated with the orthodontic appliance, coupled to a tooth, or a combination thereof. As discussed above, a processor may be integrated with the orthodontic appliance or coupled to a tooth. Alternatively, a processor can be located external to the patient's intraoral cavity. Any of these apparatuses my further comprises a communication module configured to transmit one or more of the sensor data or the processed sensor data to a remote device.
A method for monitoring performance of an orthodontic appliance for repositioning a patient's teeth may include receiving biosensor and/or sensor data related to the repositioning of the patient's teeth by the orthodontic appliance from one or more biosensors and/or sensors. The orthodontic appliance can comprise one or more teeth-receiving cavities shaped to reposition the patient's teeth from an initial arrangement towards a target arrangement. The biosensor data can be processed in order to evaluate the performance of the orthodontic appliance in effecting the repositioning of the patient's teeth.
Performance of the orthodontic appliance may be evaluated by using the biosensor data to determine one or more of: the state of a biomarker associated with tooth movement and/or remodeling, an amount of force or pressure applied to the patient's teeth, a distribution of force or pressure on the patient's teeth, an amount of movement of the patient's teeth, or a movement rate of the patient's teeth.
The apparatuses and methods described herein may include transmitting (e.g., wirelessly transmitting) one or more of the sensor and/or biosensor data or the processed sensor data to a remote device.
As mentioned above, the methods and apparatuses described herein can be used in combination with various types of orthodontic appliances. For example, appliances may have teeth-receiving cavities that receive and/or reposition teeth, e.g., via application of force due to appliance resiliency. The appliance can include a shell having teeth-receiving cavities that receive and resiliently reposition the teeth. An appliance or portion(s) thereof may be indirectly fabricated using a physical model of teeth. For example, an appliance (e.g., polymeric appliance) can be formed using a physical model of teeth and a sheet of suitable layers of polymeric material. In some embodiments, a physical appliance is directly fabricated, e.g., using rapid prototyping fabrication techniques, from a digital model of an appliance. Other orthodontic appliances may include the biosensors and microneedles described herein, including, e.g., palatal expanders. The methods and apparatuses described herein may be used with any appliance that receives teeth, for example appliances without one or more of polymers or shells. The appliance can be fabricated with one or more of many materials such as metal, glass, reinforced fibers, carbon fiber, composites, reinforced composites, aluminum, biological materials, and combinations thereof for example. The appliance can be shaped in many ways, such as with thermoforming or direct fabrication (e.g., 3D printing, additive manufacturing), for example. Alternatively or in combination, the appliance can be fabricated with machining such as an appliance fabricated from a block of material with computer numeric control machining.
An appliance can fit over all teeth present in an upper or lower jaw, or less than all of the teeth. The appliance can be designed specifically to accommodate the teeth of the patient (e.g., the topography of the tooth-receiving cavities matches the topography of the patient's teeth), and may be fabricated based on positive or negative models of the patient's teeth generated by impression, scanning, and the like. Alternatively, the appliance can be a generic appliance configured to receive the teeth, but not necessarily shaped to match the topography of the patient's teeth. In some cases, only certain teeth received by an appliance will be repositioned by the appliance while other teeth can provide a base or anchor region for holding the appliance in place as it applies force against the tooth or teeth targeted for repositioning. In some embodiments, some, most, or even all of the teeth will be repositioned at some point during treatment. Teeth that are moved can also serve as a base or anchor for holding the appliance as it is worn by the patient. Typically, no wires or other means will be provided for holding an appliance in place over the teeth. In some cases, however, it may be desirable or necessary to provide individual attachments or other anchoring elements on teeth with corresponding receptacles or apertures in the appliance so that the appliance can apply a selected force on the tooth.
As used herein, a dental appliance may include an aligner, such as those utilized in the Invisalign® System, which are described in numerous patents and patent applications assigned to Align Technology, Inc., including, for example, in U.S. Pat. Nos. 6,450,807, and 5,975,893, as well as on the company's website, which is accessible on the World Wide Web (see, e.g., the url “invisalign.com”). In this specification, the use of the terms “orthodontic aligner”, “aligner”, or “dental aligner” may be synonymous with the use of the terms “appliance” and “dental appliance” in terms of dental applications. For purposes of clarity, embodiments are hereinafter described within the context of the use and application of appliances, and more specifically “dental appliances.”
Examples of tooth-mounted attachments suitable for use with orthodontic appliances are also described in patents and patent applications assigned to Align Technology, Inc., including, for example, U.S. Pat. Nos. 6,309,215 and 6,830,450.
The orthodontic appliances described herein can be fabricated in a wide variety of ways. As an example, some embodiments of the appliances herein (or portions thereof) can be produced using indirect fabrication techniques, such as by thermoforming over a positive or negative mold. Indirect fabrication of an orthodontic appliance can involve producing a positive or negative mold of the patient's dentition in a target arrangement (e.g., by rapid prototyping, milling, etc.) and thermoforming one or more sheets of material over the mold in order to generate an appliance shell. Alternatively or in combination, some embodiments of the appliances herein may be directly fabricated, e.g., using rapid prototyping, stereolithography, 3D printing, and the like.
The configuration of the orthodontic appliances herein can be determined according to a treatment plan for a patient, e.g., a treatment plan involving successive administration of a plurality of appliances for incrementally repositioning teeth. Computer-based treatment planning and/or appliance manufacturing methods can be used in order to facilitate the design and fabrication of appliances. For instance, one or more of the appliance components described herein can be digitally designed and fabricated with the aid of computer-controlled manufacturing devices (e.g., computer numerical control (CNC) milling, computer-controlled rapid prototyping such as 3D printing, etc.). The computer-based methods presented herein can improve the accuracy, flexibility, and convenience of appliance fabrication.
Orthodontic appliances, such as the appliance illustrated in
The monitoring devices, including any of the microneedles, described herein can be physically integrated into an orthodontic appliance in a variety of ways. In some embodiments, the monitoring device is integrated into the appliance during or after fabrication of the appliance. For example, the monitoring device can be attached to an appliance using adhesives, fasteners, a latching mechanism, or a combination thereof after the appliance has been fabricated. Optionally, the appliance can be formed with complementary features or structures (e.g., recesses, receptacles, guides, apertures, etc.) shaped to receive and accommodate the monitoring device or components thereof.
A monitoring device may be coupled to the appliance as a prefabricated unit during or after fabrication of the appliance, such as by being inserted and sealed into a receptacle in the appliance, attached to an appliance (e.g., by a latching mechanism, adhesive, fastener). Alternatively, the monitoring device can be assembled in situ on the appliance during or after appliance fabrication. For instance, in embodiments where the appliance is manufactured by direct fabrication (e.g., 3D printing), the monitoring device can be printed simultaneously with the appliance, inserted into the appliance during fabrication, or after assembled the appliance has been fabricated. Optionally, some of the monitoring device components may be prefabricated and other components may be assembled in situ. It shall be appreciated that the various fabrication methods described herein can be combined in various ways in order to produce an appliance with integrated monitoring device components.
An orthodontic appliance can be operably coupled to a monitoring device configured to provide data related to tooth repositioning and/or the interaction between the appliance and the patient's teeth (e.g., contact between the appliance and the teeth, the amount of force and/or pressure applied by the appliance to the teeth, distribution of force and/or pressure on the teeth, etc.). Such data can be used to evaluate the performance of the orthodontic appliance for repositioning the patient's teeth. For instance, appliance performance information as described herein can include information regarding whether the force(s), pressure(s), and/or tooth movement(s) produced by an orthodontic appliance correlate with the expected values for the planned orthodontic treatment.
The monitoring devices described herein can be designed for use in the patient's intraoral cavity. For example, the dimensions of a monitoring device may be limited in order to avoid patient discomfort and/or facilitate integration into an orthodontic appliance as discussed below. In some embodiments, a monitoring device has a height or thickness less than or equal to about 1.5 mm, or less than or equal to about 2 mm. In some embodiments, a monitoring device has a length or width less than or equal to about 4 mm, or less than or equal to about 5 mm. The shape of the monitoring device can be varied as desired, e.g., circular, ellipsoidal, triangular, square, rectangular, etc. For instance, in some embodiments, a monitoring device can have a circular shape with a diameter less than or equal to about 5 mm.
A relatively thin and flexible monitoring device can be used to provide a larger surface area while reducing patient discomfort. In some embodiments, the monitoring devices herein are sized to conform to a surface of a tooth crown (e.g., a buccal, lingual, and/or occlusal surface of a tooth crown). For example, a monitoring device having dimensions of about 10 mm by about 5 mm can be used to cover a buccal surface of a molar crown. As another example, a monitoring device having dimensions of about 10 mm by about 20 mm can be used to cover the buccal, occlusal, and lingual surfaces of a tooth crown. A monitoring device can be in contact with a crown of a single tooth, or with crowns of a plurality of teeth, as desired.
The monitoring device dimensions (e.g., volume, weight) can be designed in order to reduce patient discomfort. For instance, the weight of a monitoring device can be selected not to exceed a level that would exert undesirable forces on the underlying teeth. A monitoring device may be used primarily for research and characterization purposes, rather than for patient treatment, and thus may not be subject to size constraints for reducing patient discomfort. For example, in embodiments where the monitoring device is used outside the intraoral cavity (e.g., benchtop testing of aligner performance), the size of the monitoring device can be relatively large compared to devices designed for intraoral use.
As discussed above,
The monitoring device 700 can include any number of biosensors 706 and/or sensor 706′, such as one, two, three, four, five, or more biosensors. In some embodiments, the use of multiple biosensors provides redundancy to increase the accuracy and reliability of the resultant data. Some or all of the biosensors 706 can be of the same type. Some or all of the biosensors 706 can be of different types. Examples of biosensor types suitable for use in the monitoring devices described herein are provided below. Examples of additional sensors may include: touch or tactile sensors (e.g., capacitive, resistive), proximity sensors, movement sensors (e.g., electromagnetic field sensors), force sensors (e.g., force-sensitive resistive or capacitive materials), pressure sensors (e.g., pressure-sensitive resistive or capacitive materials), strain gauges (e.g., resistive- or MEMS-based), electrical sensors, or combinations thereof.
A biosensor 706 can be operably coupled to and/or located at any portion of an orthodontic appliance, such as at or near a distal portion, a mesial portion, a buccal portion, a lingual portion, a gingival portion, an occlusal portion, or a combination thereof. A biosensor 706 can be positioned near a tissue of interest when the appliance is worn in the patient's mouth, such as near or adjacent the teeth, gingiva, palate, lips, tongue, cheeks, airway, or a combination thereof. For example, when the appliance is worn, the biosensor(s) 706 can cover a single tooth, or a portion of a single tooth. Alternatively, the biosensor(s) 706 can cover multiple teeth or portions thereof. In embodiments where multiple biosensors 706 are used, some or all of the monitoring devices can be located at different portions of the appliance and/or intraoral cavity. Alternatively, some or all of the biosensors 706 can be located at the same portion of the appliance and/or intraoral cavity.
An analog-to-digital converter (ADC) (not shown) can be used to convert analog biosensor and/or sensor data into digital format, if desired. The processor 702 can process the data obtained by the biosensor(s) 706 in order to determine appliance usage and/or patient compliance, as described herein. The biosensor data and/or processing results can be stored in the memory 704. Optionally, the stored data can be associated with a timestamp generated by the clock 708 (e.g., a real-time clock or counter).
In some embodiments, the monitoring device 700 incudes a communication unit 710 configured to transmit the data stored in the memory (e.g., biosensor data and/or processing results) to a remote device. The communication unit 710 can utilize any suitable communication method, such as wired or wireless communication methods (e.g., RFID, near-field communication, Bluetooth, ZigBee, infrared, etc.). The communication unit 710 can include a transmitter for transmitting data to the remote device and an antenna 712. Optionally, the communication unit 710 includes a receiver for receiving data from the remote device. In some embodiments, the communication channel utilized by the communication unit 710 can also be used to power the device 700, e.g., during data transfer or if the device 700 is used passively.
The remote device can be any computing device or system, such as a mobile device (e.g., smartphone), personal computer, laptop, tablet, wearable device, etc. Optionally, the remote device can be a part of or connected to a cloud computing system (“in the cloud”). The remote device can be associated with the patient, the treating practitioner, medical practitioners, researchers, etc. In some embodiments, the remote device is configured to process and analyze the data from the monitoring device 700, e.g., in order to assess appliance performance, for research purposes, and the like.
The monitoring device 700 can be powered by a power source 716, such as a battery. In some embodiments, the power source 716 is a printed and/or flexible battery, such as a zinc-carbon flexible battery, a zinc-manganese dioxide printed flexible battery, or a solid-state thin film lithium phosphorus oxynitride battery. The use of printed and/or flexible batteries can be advantageous for reducing the overall size of the monitoring device 700 and avoiding patient discomfort. For example, printed batteries can be fabricated in a wide variety of shapes and can be stacked to make three-dimensional structures, e.g., to conform the appliance and/or teeth geometries. Likewise, flexible batteries can be shaped to lie flush with the surfaces of the appliance and/or teeth. Alternatively or in combination, other types of batteries can be used, such as supercapacitors. In some embodiments, the power source 716 can utilize lower power energy harvesting methods (e.g., thermodynamic, electrodynamic, piezoelectric) in order to generate power for the monitoring device 700. Optionally, the power source 716 can be rechargeable, for example, using via inductive or wireless methods. In some embodiments, the patient can recharge the power source 716 when the appliance is not use. For example, the patient can remove the orthodontic appliance when brushing the teeth and place the appliance on an inductive power hub to recharge the power source 716.
Optionally, the apparatus can include a power management unit 714 connected to the power source 716. The power management unit 714 can be configured to control when the apparatus is active (e.g., using power from the power source 716) and when the apparatus inactive (e.g., not using power from the power source 716). In some embodiments, the monitoring device 700 is only active during certain times so as to lower power consumption and reduce the size of the power source 716, thus allowing for a smaller monitoring device 700
The apparatus may also include an activation mechanism (not shown) for controlling when the monitoring device (e.g., control circuitry) 700 is active (e.g., powered on, monitoring appliance usage) and when the monitoring device 700 is dormant (e.g., powered off, not monitoring appliance usage). The activation mechanism may deploy and/or retract the microneedles. The activation mechanism can be provided as a discrete component of the monitoring device 700, or can be implemented by the processor 702, the power management unit 714, or a combination thereof. The activation mechanism can be used to reduce the amount of power used by the monitoring device 700, e.g., by inactivating the device 700 when not in use, which can be beneficial for reducing the size of the power supply 716 and thus the overall device size.
In some embodiments, the monitoring device 700 is dormant before being delivered to the patient (e.g., during storage, shipment, etc.) and is activated only when ready for use. This approach can be beneficial in conserving power expenditure. For example, the components of the monitoring device 700 can be electrically coupled to the power source 716 at assembly, but may be in a dormant state until activated, e.g., by an external device such as a mobile device, personal computer, laptop, tablet, wearable device, power hub etc. The microneedles may be retracted (and in some variations may be housed within a housing). The external device can transmit a signal to the monitoring device 700 that causes the activation mechanism to activate the monitoring device 700, and extension of the microneedle(s). As another example, the activation mechanism can include a switch (e.g., mechanical, electronic, optical, magnetic, etc.), such that the power source 716 is not electrically coupled to the other components of the monitoring device 700 until the switch is triggered. For example, the switch may be a reed switch or other magnetic sensor that is held open by a magnet. The magnet can be removably attached to the monitoring device 700, or may be integrated into the packaging for the device 700 or appliance, for example. When the monitoring device is separated from the magnet (e.g., by removing the magnet or removing the device and appliance from the packaging), the switch closes and connects the power source 716, as illustrate in
The orthodontic appliances and monitoring devices can be configured in many different ways. In some embodiments, an orthodontic appliance may be operably coupled to a single monitoring device. Alternatively, the orthodontic appliance can be operably coupled to a plurality of monitoring devices, such as at least two, three, four, five, or more monitoring devices. Some or all of the monitoring devices may be of the same type (e.g., collect the same type of data). Alternatively, some or all of the monitoring devices may be of different types (e.g., collect different types of data). Any of the embodiments of monitoring devices described herein can be used in combination with other embodiments in a single orthodontic appliance.
A monitoring device, including one or more microneedles, can be located at any portion of the appliance, such as at or near a distal portion, a mesial portion, a buccal portion, a lingual portion, a gingival portion, an occlusal portion, or a combination thereof. The monitoring device can be positioned near a tissue of interest when the appliance is worn in the patient's mouth, such as near or adjacent the teeth, gingiva, palate, lips, tongue, cheeks, airway, or a combination thereof. For example, when the appliance is worn, the monitoring device can cover a single tooth, or a portion of a single tooth. Alternatively, the monitoring device can cover multiple teeth or portions thereof. In embodiments where multiple monitoring devices are used, some or all of the monitoring devices can be located at different portions of the appliance. Alternatively, some or all of the monitoring devices can be located at the same portion of the appliance.
A monitoring device can be operably coupled to the orthodontic appliance in a variety of ways. For example, the monitoring device can be physically integrated with the orthodontic appliance by coupling the monitoring device to a portion of the appliance (e.g., using adhesives, fasteners, latching, laminating, molding, etc.). The coupling may be a releasable coupling allowing for removal of the monitoring device from the appliance, or may be a permanent coupling in which the monitoring device is permanently affixed to the appliance. Alternatively or in combination, the monitoring device can be physically integrated with the orthodontic appliance by encapsulating, embedding, printing, or otherwise forming the monitoring device with the appliance. In some embodiments, the appliance includes a shell shaped to receive the patient's teeth, and the monitoring device is physically integrated with the shell. The monitoring device can be located on an inner surface of the shell (e.g., the surface adjacent to the received teeth), an outer surface of the shell (e.g., the surface away from the received teeth), or within a wall of the shell. Optionally, as discussed further herein, the shell can include a receptacle shaped to receive the monitoring device. Exemplary methods for fabricating an appliance with a physically integrated monitoring device (e.g., by incorporating some or all of the components of the monitoring device during direct fabrication of the appliance) are described in further detail herein.
The monitoring device 902 can include a biosensor 910 and/or sensor, one or more microneedles 917, a power source 912 (e.g., a battery), and/or a communication unit 914 (e.g., a wireless antenna). The arrangement of the components of the monitoring device 902 can be varied as desired. In some embodiments, the biosensor is located adjacent to the tooth receiving cavity. A gap can be formed in the shell adjacent to the biosensor/sensor so as to permit direct access to the received tooth. The communication unit (or a component thereof, such as an antenna) can be located adjacent to or on the outer surface of the receptacle so as to facilitate data transmission.
A monitoring device can include a single biosensor, or a plurality of biosensors and/or other sensors can be positioned at any location in the appliance, such on an inner surface, an outer surface, a buccal surface, a lingual surface, an occlusal surface, a mesial portion, a distal portion, a gingival portion, or a combination thereof. In embodiments where the orthodontic appliance includes a shell with a teeth-receiving cavity, the biosensors/sensors can be positioned on the inner surfaces of the teeth-receiving cavities. Optionally, at least some biosensors can be located on an outer surface of the appliance, such as an occlusal surface in order to detect contact between the upper and lower teeth
The biosensors can be positioned to be near certain teeth when the appliance is worn, e.g., near teeth to be repositioned and/or at locations where the appliance is expected to exert force on the teeth. For example, tactile sensors can be located at or near the buccal, lingual, and/or occlusal surfaces of a tooth to be repositioned so as to provide a map of contact points over the tooth crown. In some embodiments, the monitoring device is configured to obtain data from buccal, lingual, and occlusal sensors in a predetermined order and at a desired frequency in order to provide a contact map over the buccal, lingual, and occlusal surfaces. Alternatively or in combination, if the appliance is shaped to engage an attachment device mounted on a tooth, a tactile sensor can be located at or near the location of engagement between the appliance and the attachment device.
Alternatively or in combination, any of the apparatuses described herein can include one or more conductivity sensors configured to measure the conductivity of fluids (e.g., saliva) in the surrounding environment. In some embodiments, bone remodeling during orthodontic tooth movement causes changes in saliva content, and these changes can be measured based on the ionic charge of the minerals in the saliva. Examples of minerals that may influence the conductivity of saliva include but are not limited to NH4+, Ca2+, P043″, HC03−, and F″.
In general, the apparatuses described herein may include miniaturized and integrated electronic components (e.g., battery, antenna, controller, wireless communication circuitry, etc.) as part of an embedded biosensing apparatus. In some variations, the biosensor may include detection of one or more types of biomarker in saliva, including those in Table 1, above. For example, a Potentiostat with a screen-printed electrode and a modified enzyme layer may be used to detect a salivary biomarker (e.g., 14-3-3 protein a (Stratifin), uric acid, etc.). A working electrode (biotransducer) may be chemically modified by crosslinking to an enzyme. An antifouling layer may be included to prevent interference effects and biofouling.
The apparatus may include electrodes for differential C2D (e.g., common to differential) measurements and input channels for A2D (analog to digital) voltage measurements. One or more electrodes may be layered with an enzyme-membrane to achieve different configurations of working electrodes. Additional sensors and/or biosensors may be used, including temperature measurements. For example, one or more sensors can provide proximity data, which can augment biomarker detection.
In any of these apparatuses and methods described herein, compliance data may be determined from the biosensor/sensor data, and this information may also be used to augment, control, and/or interpret the biosensor information. For example, compliance data may be estimated by determining a working state of the apparatus from proximity data (e.g., power states for “In-mouth” and “out-of-mouth” conditions). Temperature sensing may also be used to augment biomarker data, e.g., by correlating temperature and biomarker data, which may provide more specific physiological monitoring.
As discussed above, examples of biomarkers that may be detected by the apparatuses and methods herein may include salivary biomarkers such as sRANKL, OPG, which may be correlated to different phases of orthodontic tooth movement (e.g., https://www.ncbi.nlm.nih.gov/pubmed/23273364). Other salivary markers include S100-A9, immunoglobulin J chain, Ig alpha-1 chain C region, CRISP-3, which may indicate inflammation and bone resorption (see, e.g., https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3417200/). Examples of gingival crevicular fluid biomarkers, e.g., inflammatory fluid accessible in in the gingival margin, may include prostaglandin E2 (which may indicate bone resorption), Substance P (neuropeptide) (which may indicate bone resorption), epidermal growth factor (which may indicate bone resorption), transforming growth factor (which may indicate bone remodeling), RankL (which may indicate stimulation of osteoclastic differentiation), Granulocyte macrophage colony stimulation factor (which may indicate bone turnover), α2 microglobulin-enhance of IGF 1, Interleukin 1β, 2, 6, 8 (which may indicate bone remodeling), Myeloperoxidase (and enzyme involved in PMN inflammation). Other gingival crevicular fluid biomarkers may include glycosaminoglycans (GAGs or mucopolysaccharides), and may indicate paradental remodeling, such as hyaluronic acid (a type of GAG or mucopolysaccharide, indicator of breakdown of gingival tissue), and Chondroitin sulfate (another type of GAG, an indicator of breakdown of alveolar bone and PDL).
Alternatively, as mentioned, a sensor, such as a stretchable sensor, may be bonded directly to the teeth or other intra oral tissue. This may provide better access to GCF or saliva for the biosensor/sensor. Instead of an embedded biosensor on the aligner, the biosensor may be directly bonded to the gingival margin to monitor GCF for certain biomarkers.
As mentioned above, any of the biosensor systems and apparatuses (e.g., removable orthodontic devices) described herein may be used to monitor one or more biomarkers from a patient. For example,
While the aligner is worn, the bioreceptor (that may be housed in a biosensor housing) of the removable orthodontic aligner may be placed in contact with a fluid (e.g., saliva, GCF, blood) within the oral cavity, e.g., through the microneedle(s) 1003, as described above, which may cause a first interaction with one or more biomarkers for tooth motion (“tooth motion biomarkers”). The first interaction may be related to a change in expression of a first biomarker of the one or more tooth motion biomarkers, wherein the change in expression of the first biomarker is associated with a specific phase of tooth movement of one or more of the patient's teeth 1004. For example, the level of the biomarker compared to a baseline may be indicative of the phase of tooth movement (e.g., initial phase, lag phase, etc.). A threshold or range of sensed values may be used to monitor an effect of the removable orthodontic device on the teeth. For example, the first interaction may be transduced into a first interaction signal representative of the first interaction 1006, and this first interaction signal may be provided by the device 1008. For example it may be output (transmitted, displayed, stored, etc.).
As mentioned above, any of the biosensors described herein may include one or more microfluidics systems for capture, storage and analysis of intra-oral fluids, including chemical analysis. For example, any of these microfluidic systems may include hard or flexible/stretchable (such as silicone) materials with or without integrated electronics (including wireless communication electronics), and may be formed integrally with the apparatus (e.g., aligner) and/or be intimately and robustly bond to the surface of apparatus. The one or more microneedles described herein may be fluidically linked to the microfluidics system(s).
In some variations, the microfluidic system may include a network of reservoirs for embedded chemical agents that may respond in colorimetric fashion to biomarkers. The reservoirs may be connected by microfluidics channels. In some variations the microfluidics channels may be configured for active and/or passive metering, so that a fluid from within the patient's oral cavity (e.g., saliva and/or GCF) may be drawn into the microfluidics channel (e.g., from the microneedle(s) as described herein) and passed into a sample chamber. The sample chamber may include, for example a colorometric indicator or other chemical agent that responds to one or more biomarkers in the fluid in a colorimetric manner. Alternatively, in some variations, the sample is processed in a microfluidics channel for later read-out (e.g., when removing the device from the mouth, and placing it into a separate storage and/or readout chamber.
In any of these variations, apparatus may include microfluidic channels that are configured to allow access to various sample and/or detection regions on the apparatus at various times. For example, the microfluidics device integrated into or on an aligner may be configured to provide timing via chrono-sampling of a fluid. For example, a microfluidic system can be designed to enable sampling with chronological order and controlled timing. In some variations, the timing of fluid within the microchannel may be timed actively, e.g., by the opening of a channel via release of a valve (e.g., an electromechanical valve, an electromagnetic value, a pressure valve, etc.). Examples of valves controlling fluid in a microfluidic network include piezoelectric, electrokinetics and chemical approaches. Capillary bursting valves (CBVs) are another variation of a valve for a microfluidics channel. CBVs block flows at pressures lower than their characteristic bursting pressures (BPs). When liquid in a single connected channel encounters two separate CBVs with different BPs, at sufficient pressures, the flow will proceed first through the valve with lower BP. In this way, locating two CBVs with different BPs near the intersection between two channels allows control of the direction of flow. The Young-Laplace equation gives the BP in a rectangular channel:
where σ is the surface tension of liquid, OA is the contact angle of the channel, θ1* is the min[θA+β; 180° ], β is the diverging angle of the channel, b and h are the width and the height of the diverging section, respectively. For hydrophobic materials at high diverging angles, the BP increases with decreasing b and h.
Thus, by adjusting the angles and dimensions, the bursting pressure may be adjusted and in the context of a microfluidics channel, series of CBVs may be used to set up a sequence of timed regions that open as the fluid within the channel reaches the selected BP. For example, the diverging angles may be between 13° and 90°, or 13° and 120°. One of skill in the art would therefore be able to select the microfluidic channel lengths and BP configurations to arrange a series of microfluidics channels and chambers, which are valved by one or more control valves, including CBVs that open at predetermined time ranges to allow sampling over time.
In some variations the microfluidic channel may be opened by dissolving a material blocking the channel. The rate of dissolution may be calibrate to open the channel after a predetermined time period (e.g., minutes, hours, days, etc.). In some variations the dissolving material may include one or more reagents for use in detecting and/or storing the fluid in the microfluidics apparatus. For example, a blocking material may include a labeling material (e.g., such as an antibody, enzyme, substrate, etc.) for detection within a chamber blocked by the blocking material.
When a feature or element is herein referred to as being “on” another feature or element, it can be directly on the other feature or element or intervening features and/or elements may also be present. In contrast, when a feature or element is referred to as being “directly on” another feature or element, there are no intervening features or elements present. It will also be understood that, when a feature or element is referred to as being “connected”, “attached” or “coupled” to another feature or element, it can be directly connected, attached or coupled to the other feature or element or intervening features or elements may be present. In contrast, when a feature or element is referred to as being “directly connected”, “directly attached” or “directly coupled” to another feature or element, there are no intervening features or elements present. Although described or shown with respect to one embodiment, the features and elements so described or shown can apply to other embodiments. It will also be appreciated by those of skill in the art that references to a structure or feature that is disposed “adjacent” another feature may have portions that overlap or underlie the adjacent feature.
Terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. For example, as used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items and may be abbreviated as “/”.
Spatially relative terms, such as “under”, “below”, “lower”, “over”, “upper” and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is inverted, elements described as “under” or “beneath” other elements or features would then be oriented “over” the other elements or features. Thus, the exemplary term “under” can encompass both an orientation of over and under. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly. Similarly, the terms “upwardly”, “downwardly”, “vertical”, “horizontal” and the like are used herein for the purpose of explanation only unless specifically indicated otherwise.
Although the terms “first” and “second” may be used herein to describe various features/elements (including steps), these features/elements should not be limited by these terms, unless the context indicates otherwise. These terms may be used to distinguish one feature/element from another feature/element. Thus, a first feature/element discussed below could be termed a second feature/element, and similarly, a second feature/element discussed below could be termed a first feature/element without departing from the teachings of the present invention.
Throughout this specification and the claims which follow, unless the context requires otherwise, the word “comprise”, and variations such as “comprises” and “comprising” means various components can be co-jointly employed in the methods and articles (e.g., compositions and apparatuses including device and methods). For example, the term “comprising” will be understood to imply the inclusion of any stated elements or steps but not the exclusion of any other elements or steps.
In general, any of the apparatuses and methods described herein should be understood to be inclusive, but all or a sub-set of the components and/or steps may alternatively be exclusive, and may be expressed as “consisting of” or alternatively “consisting essentially of” the various components, steps, sub-components or sub-steps.
As used herein in the specification and claims, including as used in the examples and unless otherwise expressly specified, all numbers may be read as if prefaced by the word “about” or “approximately,” even if the term does not expressly appear. The phrase “about” or “approximately” may be used when describing magnitude and/or position to indicate that the value and/or position described is within a reasonable expected range of values and/or positions. For example, a numeric value may have a value that is +/−0.1% of the stated value (or range of values), +/−1% of the stated value (or range of values), +/−2% of the stated value (or range of values), +/−5% of the stated value (or range of values), +/−10% of the stated value (or range of values), etc. Any numerical values given herein should also be understood to include about or approximately that value, unless the context indicates otherwise. For example, if the value “10” is disclosed, then “about 10” is also disclosed. Any numerical range recited herein is intended to include all sub-ranges subsumed therein. It is also understood that when a value is disclosed that “less than or equal to” the value, “greater than or equal to the value” and possible ranges between values are also disclosed, as appropriately understood by the skilled artisan. For example, if the value “X” is disclosed the “less than or equal to X” as well as “greater than or equal to X” (e.g., where X is a numerical value) is also disclosed. It is also understood that the throughout the application, data is provided in a number of different formats, and that this data, represents endpoints and starting points, and ranges for any combination of the data points. For example, if a particular data point “10” and a particular data point “15” are disclosed, it is understood that greater than, greater than or equal to, less than, less than or equal to, and equal to 10 and 15 are considered disclosed as well as between 10 and 15. It is also understood that each unit between two particular units are also disclosed. For example, if 10 and 15 are disclosed, then 11, 12, 13, and 14 are also disclosed.
Although various illustrative embodiments are described above, any of a number of changes may be made to various embodiments without departing from the scope of the invention as described by the claims. For example, the order in which various described method steps are performed may often be changed in alternative embodiments, and in other alternative embodiments one or more method steps may be skipped altogether. Optional features of various device and system embodiments may be included in some embodiments and not in others. Therefore, the foregoing description is provided primarily for exemplary purposes and should not be interpreted to limit the scope of the invention as it is set forth in the claims.
The examples and illustrations included herein show, by way of illustration and not of limitation, specific embodiments in which the subject matter may be practiced. As mentioned, other embodiments may be utilized and derived there from, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Such embodiments of the inventive subject matter may be referred to herein individually or collectively by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept, if more than one is, in fact, disclosed. Thus, although specific embodiments have been illustrated and described herein, any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description.
This patent application claims priority to U.S. Provisional Patent Application No. 62/568,212, filed on Oct. 4, 2017 (“INTRAORAL APPLIANCES FOR SAMPLING SOFT-TISSUE”), which is herein incorporated by reference in its entirety. This application may be related to U.S. patent application Ser. No. 16/019,037, filed on Jun. 26, 2018 (“BIOSENSOR PERFORMANCE INDICATOR FOR INTRAORAL APPLIANCES”), which claimed priority to U.S. provisional patent No. 62/525,082, filed Jun. 26, 2017 (“BIOSENSOR PERFORMANCE INDICATOR FOR INTRAORAL APPLIANCES”), each of which is herein incorporated by reference in its entirety.
| Number | Name | Date | Kind |
|---|---|---|---|
| 2171695 | Harper | Sep 1939 | A |
| 2194790 | Gluck | Mar 1940 | A |
| 2467432 | Kesling | Apr 1949 | A |
| 2531222 | Kesling | Nov 1950 | A |
| 3089487 | Enicks et al. | May 1963 | A |
| 3092907 | Traiger | Jun 1963 | A |
| 3178820 | Kesling | Apr 1965 | A |
| 3211143 | Grossberg | Oct 1965 | A |
| 3379193 | Monsghan | Apr 1968 | A |
| 3385291 | Martin | May 1968 | A |
| 3407500 | Kesling | Oct 1968 | A |
| 3478742 | Bohlmann | Nov 1969 | A |
| 3496936 | Gores | Feb 1970 | A |
| 3533163 | Kirschenbaum | Oct 1970 | A |
| 3556093 | Quick | Jan 1971 | A |
| 3600808 | Reeve | Aug 1971 | A |
| 3660900 | Andrews | May 1972 | A |
| 3683502 | Wallshein | Aug 1972 | A |
| 3724075 | Kesling | Apr 1973 | A |
| 3738005 | Cohen et al. | Jun 1973 | A |
| 3797115 | Silverman et al. | Mar 1974 | A |
| 3860803 | Levine | Jan 1975 | A |
| 3885310 | Northcutt | May 1975 | A |
| 3916526 | Schudy | Nov 1975 | A |
| 3922786 | Lavin | Dec 1975 | A |
| 3949477 | Cohen et al. | Apr 1976 | A |
| 3950851 | Bergersen | Apr 1976 | A |
| 3955282 | McNall | May 1976 | A |
| 3983628 | Acevedo | Oct 1976 | A |
| 4014096 | Dellinger | Mar 1977 | A |
| 4055895 | Huge | Nov 1977 | A |
| 4094068 | Schinhammer | Jun 1978 | A |
| 4117596 | Wallshein | Oct 1978 | A |
| 4129946 | Kennedy | Dec 1978 | A |
| 4134208 | Pearlman | Jan 1979 | A |
| 4139944 | Bergersen | Feb 1979 | A |
| 4179811 | Hinz | Dec 1979 | A |
| 4179812 | White | Dec 1979 | A |
| 4183141 | Dellinger | Jan 1980 | A |
| 4195046 | Kesling | Mar 1980 | A |
| 4204325 | Kaelble | May 1980 | A |
| 4253828 | Coles et al. | Mar 1981 | A |
| 4255138 | Frohn | Mar 1981 | A |
| 4299568 | Crowley | Nov 1981 | A |
| 4324546 | Heitlinger et al. | Apr 1982 | A |
| 4324547 | Arcan et al. | Apr 1982 | A |
| 4348178 | Kurz | Sep 1982 | A |
| 4368040 | Weissman | Jan 1983 | A |
| 4419992 | Chorbajian | Dec 1983 | A |
| 4433956 | Witzig | Feb 1984 | A |
| 4433960 | Garito et al. | Feb 1984 | A |
| 4439154 | Mayclin | Mar 1984 | A |
| 4449928 | von Weissenfluh | May 1984 | A |
| 4478580 | Barrut | Oct 1984 | A |
| 4500294 | Lewis | Feb 1985 | A |
| 4505672 | Kurz | Mar 1985 | A |
| 4505673 | Yoshii | Mar 1985 | A |
| 4519386 | Sullivan | May 1985 | A |
| 4523908 | Drisaldi et al. | Jun 1985 | A |
| 4526540 | Dellinger | Jul 1985 | A |
| 4553936 | Wang | Nov 1985 | A |
| 4575330 | Hull | Mar 1986 | A |
| 4575805 | Moermann et al. | Mar 1986 | A |
| 4591341 | Andrews | May 1986 | A |
| 4608021 | Barrett | Aug 1986 | A |
| 4609349 | Cain | Sep 1986 | A |
| 4611288 | Duret et al. | Sep 1986 | A |
| 4629424 | Lauks et al. | Dec 1986 | A |
| 4638145 | Sakuma et al. | Jan 1987 | A |
| 4656860 | Orthuber et al. | Apr 1987 | A |
| 4663720 | Duret et al. | May 1987 | A |
| 4664626 | Kesling | May 1987 | A |
| 4665621 | Ackerman et al. | May 1987 | A |
| 4676747 | Kesling | Jun 1987 | A |
| 4755139 | Abbatte et al. | Jul 1988 | A |
| 4757824 | Chaumet | Jul 1988 | A |
| 4763791 | Halverson et al. | Aug 1988 | A |
| 4764111 | Knierim | Aug 1988 | A |
| 4790752 | Cheslak | Dec 1988 | A |
| 4793803 | Martz | Dec 1988 | A |
| 4798534 | Breads | Jan 1989 | A |
| 4830612 | Bergersen | May 1989 | A |
| 4836778 | Baumrind et al. | Jun 1989 | A |
| 4837732 | Brandestini et al. | Jun 1989 | A |
| 4850864 | Diamond | Jul 1989 | A |
| 4850865 | Napolitano | Jul 1989 | A |
| 4856991 | Breads et al. | Aug 1989 | A |
| 4877398 | Kesling | Oct 1989 | A |
| 4880380 | Martz | Nov 1989 | A |
| 4886451 | Cetlin | Dec 1989 | A |
| 4889238 | Batchelor | Dec 1989 | A |
| 4890608 | Steer | Jan 1990 | A |
| 4932866 | Guis | Jun 1990 | A |
| 4935635 | O'Harra | Jun 1990 | A |
| 4936862 | Walker et al. | Jun 1990 | A |
| 4937928 | van der Zel | Jul 1990 | A |
| 4941826 | Loran et al. | Jul 1990 | A |
| 4952928 | Carroll et al. | Aug 1990 | A |
| 4964770 | Steinbichler et al. | Oct 1990 | A |
| 4971557 | Martin | Nov 1990 | A |
| 4975052 | Spencer et al. | Dec 1990 | A |
| 4983334 | Adell | Jan 1991 | A |
| 4997369 | Shafir | Mar 1991 | A |
| 5002485 | Aagesen | Mar 1991 | A |
| 5011405 | Lemchen | Apr 1991 | A |
| 5015183 | Fenick | May 1991 | A |
| 5017133 | Miura | May 1991 | A |
| 5018969 | Andreiko et al. | May 1991 | A |
| 5027281 | Rekow et al. | Jun 1991 | A |
| 5035613 | Breads et al. | Jul 1991 | A |
| 5037295 | Bergersen | Aug 1991 | A |
| 5055039 | Abbatte et al. | Oct 1991 | A |
| 5061839 | Matsuno et al. | Oct 1991 | A |
| 5083919 | Quachi | Jan 1992 | A |
| 5094614 | Wildman | Mar 1992 | A |
| 5100316 | Wildman | Mar 1992 | A |
| 5103838 | Yousif | Apr 1992 | A |
| 5114339 | Guis | May 1992 | A |
| 5121333 | Riley et al. | Jun 1992 | A |
| 5123425 | Shannon et al. | Jun 1992 | A |
| 5128870 | Erdman et al. | Jul 1992 | A |
| 5130064 | Smalley et al. | Jul 1992 | A |
| 5131843 | Hilgers et al. | Jul 1992 | A |
| 5131844 | Marinaccio et al. | Jul 1992 | A |
| 5139419 | Andreiko et al. | Aug 1992 | A |
| 5145364 | Martz et al. | Sep 1992 | A |
| 5176517 | Truax | Jan 1993 | A |
| 5194003 | Garay et al. | Mar 1993 | A |
| 5204670 | Stinton | Apr 1993 | A |
| 5222499 | Allen et al. | Jun 1993 | A |
| 5224049 | Mushabac | Jun 1993 | A |
| 5238404 | Andreiko | Aug 1993 | A |
| 5242304 | Truax et al. | Sep 1993 | A |
| 5245592 | Kuemmel et al. | Sep 1993 | A |
| 5273429 | Rekow et al. | Dec 1993 | A |
| 5278756 | Lemchen et al. | Jan 1994 | A |
| 5306144 | Hibst et al. | Apr 1994 | A |
| 5314335 | Fung | May 1994 | A |
| 5324186 | Bakanowski | Jun 1994 | A |
| 5328362 | Watson et al. | Jul 1994 | A |
| 5335657 | Terry et al. | Aug 1994 | A |
| 5338198 | Wu et al. | Aug 1994 | A |
| 5340309 | Robertson | Aug 1994 | A |
| 5342202 | Deshayes | Aug 1994 | A |
| 5344315 | Hanson | Sep 1994 | A |
| 5368478 | Andreiko et al. | Nov 1994 | A |
| 5372502 | Massen et al. | Dec 1994 | A |
| D354355 | Hilgers | Jan 1995 | S |
| 5382164 | Stern | Jan 1995 | A |
| 5395238 | Andreiko et al. | Mar 1995 | A |
| 5415542 | Kesling | May 1995 | A |
| 5431562 | Andreiko et al. | Jul 1995 | A |
| 5440326 | Quinn | Aug 1995 | A |
| 5440496 | Andersson et al. | Aug 1995 | A |
| 5447432 | Andreiko et al. | Sep 1995 | A |
| 5449703 | Mitra et al. | Sep 1995 | A |
| 5452219 | Dehoff et al. | Sep 1995 | A |
| 5454717 | Andreiko et al. | Oct 1995 | A |
| 5456600 | Andreiko et al. | Oct 1995 | A |
| 5474448 | Andreiko et al. | Dec 1995 | A |
| 5487662 | Kipke et al. | Jan 1996 | A |
| RE35169 | Lemchen et al. | Mar 1996 | E |
| 5499633 | Fenton | Mar 1996 | A |
| 5522725 | Jordan et al. | Jun 1996 | A |
| 5528735 | Strasnick et al. | Jun 1996 | A |
| 5533895 | Andreiko et al. | Jul 1996 | A |
| 5540732 | Testerman | Jul 1996 | A |
| 5542842 | Andreiko et al. | Aug 1996 | A |
| 5543780 | McAuley et al. | Aug 1996 | A |
| 5549476 | Stern | Aug 1996 | A |
| 5562448 | Mushabac | Oct 1996 | A |
| 5570182 | Nathel et al. | Oct 1996 | A |
| 5575655 | Darnell | Nov 1996 | A |
| 5583977 | Seidl | Dec 1996 | A |
| 5587912 | Andersson et al. | Dec 1996 | A |
| 5588098 | Chen et al. | Dec 1996 | A |
| 5605459 | Kuroda et al. | Feb 1997 | A |
| 5607305 | Andersson et al. | Mar 1997 | A |
| 5614075 | Andre | Mar 1997 | A |
| 5615183 | Ishii | Mar 1997 | A |
| 5621648 | Crump | Apr 1997 | A |
| 5626537 | Danyo et al. | May 1997 | A |
| 5636736 | Jacobs et al. | Jun 1997 | A |
| 5645420 | Bergersen | Jul 1997 | A |
| 5645421 | Slootsky | Jul 1997 | A |
| 5651671 | Seay et al. | Jul 1997 | A |
| 5655653 | Chester | Aug 1997 | A |
| 5659420 | Wakai et al. | Aug 1997 | A |
| 5683243 | Andreiko et al. | Nov 1997 | A |
| 5683244 | Truax | Nov 1997 | A |
| 5691539 | Pfeiffer | Nov 1997 | A |
| 5692894 | Schwartz et al. | Dec 1997 | A |
| 5711665 | Adam et al. | Jan 1998 | A |
| 5711666 | Hanson | Jan 1998 | A |
| 5725376 | Poirier | Mar 1998 | A |
| 5725378 | Wang | Mar 1998 | A |
| 5730151 | Summer et al. | Mar 1998 | A |
| 5737084 | Ishihara | Apr 1998 | A |
| 5740267 | Echerer et al. | Apr 1998 | A |
| 5742700 | Yoon et al. | Apr 1998 | A |
| 5769631 | Williams | Jun 1998 | A |
| 5774425 | Ivanov et al. | Jun 1998 | A |
| 5790242 | Stern et al. | Aug 1998 | A |
| 5799100 | Clarke et al. | Aug 1998 | A |
| 5800162 | Shimodaira et al. | Sep 1998 | A |
| 5800174 | Andersson | Sep 1998 | A |
| 5813854 | Nikodem | Sep 1998 | A |
| 5816199 | Khizh et al. | Oct 1998 | A |
| 5816800 | Brehm et al. | Oct 1998 | A |
| 5818587 | Devaraj et al. | Oct 1998 | A |
| 5823778 | Schmitt et al. | Oct 1998 | A |
| 5848115 | Little et al. | Dec 1998 | A |
| 5857853 | van Nifterick et al. | Jan 1999 | A |
| 5866058 | Batchelder et al. | Feb 1999 | A |
| 5876199 | Bergersen | Mar 1999 | A |
| 5879158 | Doyle et al. | Mar 1999 | A |
| 5880961 | Crump | Mar 1999 | A |
| 5880962 | Andersson et al. | Mar 1999 | A |
| 5882192 | Bergersen | Mar 1999 | A |
| 5886702 | Migdal et al. | Mar 1999 | A |
| 5890896 | Padial | Apr 1999 | A |
| 5904479 | Staples | May 1999 | A |
| 5934288 | Avila et al. | Aug 1999 | A |
| 5957686 | Anthony | Sep 1999 | A |
| 5964587 | Sato | Oct 1999 | A |
| 5971754 | Sondhi et al. | Oct 1999 | A |
| 5975893 | Chishti et al. | Nov 1999 | A |
| 5975906 | Knutson | Nov 1999 | A |
| 5980246 | Ramsay et al. | Nov 1999 | A |
| 5989023 | Summer et al. | Nov 1999 | A |
| 6002706 | Staver et al. | Dec 1999 | A |
| 6018713 | Coli et al. | Jan 2000 | A |
| 6044309 | Honda | Mar 2000 | A |
| 6049743 | Baba | Apr 2000 | A |
| 6053731 | Heckenberger | Apr 2000 | A |
| 6068482 | Snow | May 2000 | A |
| 6070140 | Tran | May 2000 | A |
| 6099303 | Gibbs et al. | Aug 2000 | A |
| 6099314 | Kopelman et al. | Aug 2000 | A |
| 6102701 | Engeron | Aug 2000 | A |
| 6120287 | Chen | Sep 2000 | A |
| 6123544 | Cleary | Sep 2000 | A |
| 6152731 | Jordan et al. | Nov 2000 | A |
| 6154676 | Levine | Nov 2000 | A |
| 6183248 | Chishti et al. | Feb 2001 | B1 |
| 6183249 | Brennan et al. | Feb 2001 | B1 |
| 6186780 | Hibst et al. | Feb 2001 | B1 |
| 6190165 | Andreiko et al. | Feb 2001 | B1 |
| 6200133 | Kittelsen | Mar 2001 | B1 |
| 6201880 | Elbaum et al. | Mar 2001 | B1 |
| 6210162 | Chishti et al. | Apr 2001 | B1 |
| 6212435 | Lattner et al. | Apr 2001 | B1 |
| 6213767 | Dixon et al. | Apr 2001 | B1 |
| 6217334 | Hultgren | Apr 2001 | B1 |
| 6227850 | Chishti et al. | May 2001 | B1 |
| 6231338 | de Josselin de Jong et al. | May 2001 | B1 |
| 6234990 | Rowe | May 2001 | B1 |
| 6239705 | Glen | May 2001 | B1 |
| 6243601 | Wist | Jun 2001 | B1 |
| 6263234 | Engelhardt et al. | Jul 2001 | B1 |
| 6283761 | Joao | Sep 2001 | B1 |
| 6288138 | Yamamoto | Sep 2001 | B1 |
| 6299438 | Sahagian et al. | Oct 2001 | B1 |
| 6309215 | Phan et al. | Oct 2001 | B1 |
| 6313432 | Nagata et al. | Nov 2001 | B1 |
| 6315553 | Sachdeva et al. | Nov 2001 | B1 |
| 6328745 | Ascherman | Dec 2001 | B1 |
| 6332774 | Chikami | Dec 2001 | B1 |
| 6334073 | Levine | Dec 2001 | B1 |
| 6350120 | Sachdeva et al. | Feb 2002 | B1 |
| 6364660 | Durbin et al. | Apr 2002 | B1 |
| 6382975 | Poirier | May 2002 | B1 |
| 6386878 | Pavlovskaia et al. | May 2002 | B1 |
| 6394802 | Hahn | May 2002 | B1 |
| 6402510 | Williams | Jun 2002 | B1 |
| 6402707 | Ernst | Jun 2002 | B1 |
| 6405729 | Thornton | Jun 2002 | B1 |
| 6406292 | Chishti et al. | Jun 2002 | B1 |
| 6409504 | Jones et al. | Jun 2002 | B1 |
| 6413086 | Womack | Jul 2002 | B1 |
| 6414264 | von Falkenhausen | Jul 2002 | B1 |
| 6414708 | Carmeli et al. | Jul 2002 | B1 |
| 6435871 | Inman | Aug 2002 | B1 |
| 6436058 | Krahner et al. | Aug 2002 | B1 |
| 6441354 | Seghatol et al. | Aug 2002 | B1 |
| 6450167 | David et al. | Sep 2002 | B1 |
| 6450807 | Chishti et al. | Sep 2002 | B1 |
| 6462301 | Scott et al. | Oct 2002 | B1 |
| 6470338 | Rizzo et al. | Oct 2002 | B1 |
| 6471511 | Chishti et al. | Oct 2002 | B1 |
| 6471512 | Sachdeva et al. | Oct 2002 | B1 |
| 6471970 | Fanara et al. | Oct 2002 | B1 |
| 6482002 | Jordan et al. | Nov 2002 | B2 |
| 6482298 | Bhatnagar | Nov 2002 | B1 |
| 6496814 | Busche | Dec 2002 | B1 |
| 6496816 | Thiesson et al. | Dec 2002 | B1 |
| 6499026 | Rivette et al. | Dec 2002 | B1 |
| 6499995 | Schwartz | Dec 2002 | B1 |
| 6507832 | Evans et al. | Jan 2003 | B1 |
| 6514074 | Chishti et al. | Feb 2003 | B1 |
| 6515593 | Stark et al. | Feb 2003 | B1 |
| 6516288 | Bagne | Feb 2003 | B2 |
| 6516805 | Thornton | Feb 2003 | B1 |
| 6520772 | Williams | Feb 2003 | B2 |
| 6523009 | Wilkins | Feb 2003 | B1 |
| 6523019 | Borthwick | Feb 2003 | B1 |
| 6524101 | Phan et al. | Feb 2003 | B1 |
| 6526168 | Ornes et al. | Feb 2003 | B1 |
| 6526982 | Strong | Mar 2003 | B1 |
| 6529891 | Heckerman | Mar 2003 | B1 |
| 6529902 | Kanevsky et al. | Mar 2003 | B1 |
| 6532455 | Martin et al. | Mar 2003 | B1 |
| 6535865 | Skaaning et al. | Mar 2003 | B1 |
| 6540512 | Sachdeva et al. | Apr 2003 | B1 |
| 6540707 | Stark et al. | Apr 2003 | B1 |
| 6542593 | Bowman Amuah | Apr 2003 | B1 |
| 6542881 | Meidan et al. | Apr 2003 | B1 |
| 6542894 | Lee et al. | Apr 2003 | B1 |
| 6542903 | Hull et al. | Apr 2003 | B2 |
| 6551243 | Bocionek et al. | Apr 2003 | B2 |
| 6554837 | Hauri et al. | Apr 2003 | B1 |
| 6556659 | Bowman Amuah | Apr 2003 | B1 |
| 6556977 | Lapointe et al. | Apr 2003 | B1 |
| 6560592 | Reid et al. | May 2003 | B1 |
| 6564209 | Dempski et al. | May 2003 | B1 |
| 6567814 | Bankier et al. | May 2003 | B1 |
| 6571227 | Agrafiotis et al. | May 2003 | B1 |
| 6572372 | Phan et al. | Jun 2003 | B1 |
| 6573998 | Cohen Sabban | Jun 2003 | B2 |
| 6574561 | Alexander et al. | Jun 2003 | B2 |
| 6578003 | Camarda et al. | Jun 2003 | B1 |
| 6580948 | Haupert et al. | Jun 2003 | B2 |
| 6587529 | Staszewski et al. | Jul 2003 | B1 |
| 6587828 | Sachdeva | Jul 2003 | B1 |
| 6592368 | Weathers | Jul 2003 | B1 |
| 6594539 | Geng | Jul 2003 | B1 |
| 6595342 | Maritzen et al. | Jul 2003 | B1 |
| 6597934 | de Jong et al. | Jul 2003 | B1 |
| 6598043 | Baclawski | Jul 2003 | B1 |
| 6599250 | Webb et al. | Jul 2003 | B2 |
| 6602070 | Miller et al. | Aug 2003 | B2 |
| 6604527 | Palmisano | Aug 2003 | B1 |
| 6606744 | Mikurak | Aug 2003 | B1 |
| 6607382 | Kuo et al. | Aug 2003 | B1 |
| 6611783 | Kelly et al. | Aug 2003 | B2 |
| 6611867 | Bowman Amuah | Aug 2003 | B1 |
| 6613001 | Dworkin | Sep 2003 | B1 |
| 6615158 | Wenzel et al. | Sep 2003 | B2 |
| 6616447 | Rizoiu et al. | Sep 2003 | B1 |
| 6616579 | Reinbold et al. | Sep 2003 | B1 |
| 6621491 | Baumrind et al. | Sep 2003 | B1 |
| 6623698 | Kuo | Sep 2003 | B2 |
| 6624752 | Klitsgaard et al. | Sep 2003 | B2 |
| 6626180 | Kittelsen et al. | Sep 2003 | B1 |
| 6626569 | Reinstein et al. | Sep 2003 | B2 |
| 6626669 | Zegarelli | Sep 2003 | B2 |
| 6633772 | Ford et al. | Oct 2003 | B2 |
| 6640128 | Vilsmeier et al. | Oct 2003 | B2 |
| 6643646 | Su et al. | Nov 2003 | B2 |
| 6647383 | August et al. | Nov 2003 | B1 |
| 6650944 | Goedeke et al. | Nov 2003 | B2 |
| 6671818 | Mikurak | Dec 2003 | B1 |
| 6675104 | Paulse et al. | Jan 2004 | B2 |
| 6678669 | Lapointe et al. | Jan 2004 | B2 |
| 6682346 | Chishti et al. | Jan 2004 | B2 |
| 6685469 | Chishti et al. | Feb 2004 | B2 |
| 6689055 | Mullen et al. | Feb 2004 | B1 |
| 6690761 | Lang et al. | Feb 2004 | B2 |
| 6691110 | Wang et al. | Feb 2004 | B2 |
| 6694234 | Lockwood et al. | Feb 2004 | B2 |
| 6697164 | Babayoff et al. | Feb 2004 | B1 |
| 6697793 | McGreevy | Feb 2004 | B2 |
| 6702765 | Robbins et al. | Mar 2004 | B2 |
| 6702804 | Ritter et al. | Mar 2004 | B1 |
| 6705863 | Phan et al. | Mar 2004 | B2 |
| 6729876 | Chishti et al. | May 2004 | B2 |
| 6733289 | Manemann et al. | May 2004 | B2 |
| 6736638 | Sachdeva et al. | May 2004 | B1 |
| 6739869 | Taub et al. | May 2004 | B1 |
| 6744932 | Rubbert et al. | Jun 2004 | B1 |
| 6749414 | Hanson et al. | Jun 2004 | B1 |
| 6769913 | Hurson | Aug 2004 | B2 |
| 6772026 | Bradbury et al. | Aug 2004 | B2 |
| 6790036 | Graham | Sep 2004 | B2 |
| 6802713 | Chishti et al. | Oct 2004 | B1 |
| 6814574 | Abolfathi et al. | Nov 2004 | B2 |
| 6830450 | Knopp et al. | Dec 2004 | B2 |
| 6832912 | Mao | Dec 2004 | B2 |
| 6832914 | Bonnet et al. | Dec 2004 | B1 |
| 6843370 | Tuneberg | Jan 2005 | B2 |
| 6845175 | Kopelman et al. | Jan 2005 | B2 |
| 6885464 | Pfeiffer et al. | Apr 2005 | B1 |
| 6890285 | Rahman et al. | May 2005 | B2 |
| 6951254 | Morrison | Oct 2005 | B2 |
| 6976841 | Osterwalder | Dec 2005 | B1 |
| 6978268 | Thomas et al. | Dec 2005 | B2 |
| 6983752 | Garabadian | Jan 2006 | B2 |
| 6984128 | Breining et al. | Jan 2006 | B2 |
| 6988893 | Haywood | Jan 2006 | B2 |
| 7016952 | Mullen et al. | Mar 2006 | B2 |
| 7020963 | Cleary et al. | Apr 2006 | B2 |
| 7036514 | Heck | May 2006 | B2 |
| 7040896 | Pavlovskaia et al. | May 2006 | B2 |
| 7106233 | Schroeder et al. | Sep 2006 | B2 |
| 7112065 | Kopelman et al. | Sep 2006 | B2 |
| 7121825 | Chishti et al. | Oct 2006 | B2 |
| 7134874 | Chishti et al. | Nov 2006 | B2 |
| 7137812 | Cleary et al. | Nov 2006 | B2 |
| 7138640 | Delgado et al. | Nov 2006 | B1 |
| 7140877 | Kaza | Nov 2006 | B2 |
| 7142312 | Quadling et al. | Nov 2006 | B2 |
| 7155373 | Jordan et al. | Dec 2006 | B2 |
| 7156655 | Sachdeva et al. | Jan 2007 | B2 |
| 7156661 | Choi et al. | Jan 2007 | B2 |
| 7166063 | Rahman et al. | Jan 2007 | B2 |
| 7184150 | Quadling et al. | Feb 2007 | B2 |
| 7191451 | Nakagawa | Mar 2007 | B2 |
| 7192273 | McSurdy | Mar 2007 | B2 |
| 7217131 | Vuillemot | May 2007 | B2 |
| 7220122 | Chishti | May 2007 | B2 |
| 7220124 | Taub et al. | May 2007 | B2 |
| 7229282 | Andreiko et al. | Jun 2007 | B2 |
| 7234937 | Sachdeva et al. | Jun 2007 | B2 |
| 7241142 | Abolfathi et al. | Jul 2007 | B2 |
| 7244230 | Duggirala et al. | Jul 2007 | B2 |
| 7245753 | Squilla et al. | Jul 2007 | B2 |
| 7257136 | Mori et al. | Aug 2007 | B2 |
| 7286954 | Kopelman et al. | Oct 2007 | B2 |
| 7292759 | Boutoussov et al. | Nov 2007 | B2 |
| 7294141 | Bergersen | Nov 2007 | B2 |
| 7302842 | Biester et al. | Dec 2007 | B2 |
| 7320592 | Chishti et al. | Jan 2008 | B2 |
| 7328706 | Barach et al. | Feb 2008 | B2 |
| 7329122 | Scott | Feb 2008 | B1 |
| 7338327 | Sticker et al. | Mar 2008 | B2 |
| D565509 | Fechner et al. | Apr 2008 | S |
| 7351116 | Dold | Apr 2008 | B2 |
| 7354270 | Abolfathi et al. | Apr 2008 | B2 |
| 7357637 | Liechtung | Apr 2008 | B2 |
| 7435083 | Chishti et al. | Oct 2008 | B2 |
| 7450231 | Johs et al. | Nov 2008 | B2 |
| 7458810 | Bergersen | Dec 2008 | B2 |
| 7460230 | Johs et al. | Dec 2008 | B2 |
| 7462076 | Walter et al. | Dec 2008 | B2 |
| 7463929 | Simmons | Dec 2008 | B2 |
| 7476100 | Kuo | Jan 2009 | B2 |
| 7500851 | Williams | Mar 2009 | B2 |
| D594413 | Palka et al. | Jun 2009 | S |
| 7543511 | Kimura et al. | Jun 2009 | B2 |
| 7544103 | Walter et al. | Jun 2009 | B2 |
| 7553157 | Abolfathi et al. | Jun 2009 | B2 |
| 7561273 | Stautmeister et al. | Jul 2009 | B2 |
| 7577284 | Wong et al. | Aug 2009 | B2 |
| 7596253 | Wong et al. | Sep 2009 | B2 |
| 7597594 | Stadler et al. | Oct 2009 | B2 |
| 7609875 | Liu et al. | Oct 2009 | B2 |
| D603796 | Sticker et al. | Nov 2009 | S |
| 7616319 | Woollam et al. | Nov 2009 | B1 |
| 7626705 | Altendorf | Dec 2009 | B2 |
| 7632216 | Rahman et al. | Dec 2009 | B2 |
| 7633625 | Woollam et al. | Dec 2009 | B1 |
| 7637262 | Bailey | Dec 2009 | B2 |
| 7637740 | Knopp | Dec 2009 | B2 |
| 7641473 | Sporbert et al. | Jan 2010 | B2 |
| 7668355 | Wong et al. | Feb 2010 | B2 |
| 7670179 | Müller | Mar 2010 | B2 |
| 7695327 | Bäuerle et al. | Apr 2010 | B2 |
| 7698068 | Babayoff | Apr 2010 | B2 |
| 7711447 | Lu et al. | May 2010 | B2 |
| 7724378 | Babayoff | May 2010 | B2 |
| D618619 | Walter | Jun 2010 | S |
| 7728848 | Petrov et al. | Jun 2010 | B2 |
| 7731508 | Borst | Jun 2010 | B2 |
| 7735217 | Borst | Jun 2010 | B2 |
| 7740476 | Rubbert et al. | Jun 2010 | B2 |
| 7744369 | Imgrund et al. | Jun 2010 | B2 |
| 7746339 | Matov et al. | Jun 2010 | B2 |
| 7780460 | Walter | Aug 2010 | B2 |
| 7787132 | Körner et al. | Aug 2010 | B2 |
| 7791810 | Powell | Sep 2010 | B2 |
| 7796243 | Choo-Smith et al. | Sep 2010 | B2 |
| 7806687 | Minagi et al. | Oct 2010 | B2 |
| 7806727 | Dold et al. | Oct 2010 | B2 |
| 7813787 | de Josselin de Jong et al. | Oct 2010 | B2 |
| 7824180 | Abolfathi et al. | Nov 2010 | B2 |
| 7828601 | Pyczak | Nov 2010 | B2 |
| 7841464 | Cinader et al. | Nov 2010 | B2 |
| 7845969 | Stadler et al. | Dec 2010 | B2 |
| 7854609 | Chen et al. | Dec 2010 | B2 |
| 7862336 | Kopelman et al. | Jan 2011 | B2 |
| 7869983 | Raby et al. | Jan 2011 | B2 |
| 7872760 | Ertl | Jan 2011 | B2 |
| 7874836 | McSurdy | Jan 2011 | B2 |
| 7874837 | Chishti et al. | Jan 2011 | B2 |
| 7874849 | Sticker et al. | Jan 2011 | B2 |
| 7878801 | Abolfathi et al. | Feb 2011 | B2 |
| 7878805 | Moss et al. | Feb 2011 | B2 |
| 7880751 | Kuo et al. | Feb 2011 | B2 |
| 7892474 | Shkolnik et al. | Feb 2011 | B2 |
| 7904308 | Arnone et al. | Mar 2011 | B2 |
| 7907280 | Johs et al. | Mar 2011 | B2 |
| 7929151 | Liang et al. | Apr 2011 | B2 |
| 7930189 | Kuo | Apr 2011 | B2 |
| 7947508 | Tricca et al. | May 2011 | B2 |
| 7959308 | Freeman et al. | Jun 2011 | B2 |
| 7963766 | Cronauer | Jun 2011 | B2 |
| 7970627 | Kuo et al. | Jun 2011 | B2 |
| 7985414 | Knaack et al. | Jul 2011 | B2 |
| 7986415 | Thiel et al. | Jul 2011 | B2 |
| 7987099 | Kuo et al. | Jul 2011 | B2 |
| 7991485 | Zakim | Aug 2011 | B2 |
| 8017891 | Nevin | Sep 2011 | B2 |
| 8026916 | Wen | Sep 2011 | B2 |
| 8027709 | Arnone et al. | Sep 2011 | B2 |
| 8029277 | Imgrund et al. | Oct 2011 | B2 |
| 8038444 | Kitching et al. | Oct 2011 | B2 |
| 8045772 | Kosuge et al. | Oct 2011 | B2 |
| 8054556 | Chen et al. | Nov 2011 | B2 |
| 8070490 | Roetzer et al. | Dec 2011 | B1 |
| 8075306 | Kitching et al. | Dec 2011 | B2 |
| 8077949 | Liang et al. | Dec 2011 | B2 |
| 8083556 | Stadler et al. | Dec 2011 | B2 |
| D652799 | Mueller | Jan 2012 | S |
| 8092215 | Stone-Collonge et al. | Jan 2012 | B2 |
| 8095383 | Arnone et al. | Jan 2012 | B2 |
| 8099268 | Kitching et al. | Jan 2012 | B2 |
| 8099305 | Kuo et al. | Jan 2012 | B2 |
| 8118592 | Tortorici | Feb 2012 | B2 |
| 8126025 | Takeda | Feb 2012 | B2 |
| 8136529 | Kelly | Mar 2012 | B2 |
| 8144954 | Quadling et al. | Mar 2012 | B2 |
| 8160334 | Thiel et al. | Apr 2012 | B2 |
| 8172569 | Matty et al. | May 2012 | B2 |
| 8197252 | Harrison | Jun 2012 | B1 |
| 8201560 | Dembro | Jun 2012 | B2 |
| 8215312 | Garabadian et al. | Jul 2012 | B2 |
| 8240018 | Walter et al. | Aug 2012 | B2 |
| 8275180 | Kuo | Sep 2012 | B2 |
| 8279450 | Oota et al. | Oct 2012 | B2 |
| 8292617 | Brandt et al. | Oct 2012 | B2 |
| 8294657 | Kim et al. | Oct 2012 | B2 |
| 8296952 | Greenberg | Oct 2012 | B2 |
| 8297286 | Smernoff | Oct 2012 | B2 |
| 8306608 | Mandelis et al. | Nov 2012 | B2 |
| 8314764 | Kim et al. | Nov 2012 | B2 |
| 8332015 | Ertl | Dec 2012 | B2 |
| 8354588 | Sticker et al. | Jan 2013 | B2 |
| 8366479 | Borst et al. | Feb 2013 | B2 |
| 8401826 | Cheng et al. | Mar 2013 | B2 |
| 8419428 | Lawrence | Apr 2013 | B2 |
| 8433083 | Abolfathi et al. | Apr 2013 | B2 |
| 8439672 | Matov et al. | May 2013 | B2 |
| 8465280 | Sachdeva et al. | Jun 2013 | B2 |
| 8477320 | Stock et al. | Jul 2013 | B2 |
| 8488113 | Thiel et al. | Jul 2013 | B2 |
| 8517726 | Kakavand et al. | Aug 2013 | B2 |
| 8520922 | Wang et al. | Aug 2013 | B2 |
| 8520925 | Duret et al. | Aug 2013 | B2 |
| 8523565 | Matty et al. | Sep 2013 | B2 |
| 8545221 | Stone-Collonge et al. | Oct 2013 | B2 |
| 8556625 | Lovely | Oct 2013 | B2 |
| 8570530 | Liang | Oct 2013 | B2 |
| 8573224 | Thornton | Nov 2013 | B2 |
| 8577212 | Thiel | Nov 2013 | B2 |
| 8601925 | Coto | Dec 2013 | B1 |
| 8639477 | Chelnokov et al. | Jan 2014 | B2 |
| 8650586 | Lee et al. | Feb 2014 | B2 |
| 8675706 | Seurin et al. | Mar 2014 | B2 |
| 8723029 | Pyczak et al. | May 2014 | B2 |
| 8738394 | Kuo | May 2014 | B2 |
| 8743923 | Geske et al. | Jun 2014 | B2 |
| 8753114 | Vuillemot | Jun 2014 | B2 |
| 8767270 | Curry et al. | Jul 2014 | B2 |
| 8768016 | Pan et al. | Jul 2014 | B2 |
| 8771149 | Rahman et al. | Jul 2014 | B2 |
| 8839476 | Adachi | Sep 2014 | B2 |
| 8843381 | Kuo et al. | Sep 2014 | B2 |
| 8856053 | Mah | Oct 2014 | B2 |
| 8870566 | Bergersen | Oct 2014 | B2 |
| 8874452 | Kuo | Oct 2014 | B2 |
| 8878905 | Fisker et al. | Nov 2014 | B2 |
| 8899976 | Chen et al. | Dec 2014 | B2 |
| 8936463 | Mason et al. | Jan 2015 | B2 |
| 8944812 | Kou | Feb 2015 | B2 |
| 8948482 | Levin | Feb 2015 | B2 |
| 8956058 | Rösch | Feb 2015 | B2 |
| 8992216 | Karazivan | Mar 2015 | B2 |
| 9004915 | Moss et al. | Apr 2015 | B2 |
| 9022792 | Sticker et al. | May 2015 | B2 |
| 9039418 | Rubbert | May 2015 | B1 |
| 9084535 | Girkin et al. | Jul 2015 | B2 |
| 9084657 | Matty et al. | Jul 2015 | B2 |
| 9108338 | Sirovskiy et al. | Aug 2015 | B2 |
| 9144512 | Wagner | Sep 2015 | B2 |
| 9192305 | Levin | Nov 2015 | B2 |
| 9204952 | Lampalzer | Dec 2015 | B2 |
| 9211166 | Kuo et al. | Dec 2015 | B2 |
| 9214014 | Levin | Dec 2015 | B2 |
| 9220580 | Borovinskih et al. | Dec 2015 | B2 |
| 9241774 | Li et al. | Jan 2016 | B2 |
| 9242118 | Brawn | Jan 2016 | B2 |
| 9261358 | Atiya et al. | Feb 2016 | B2 |
| 9277972 | Brandt et al. | Mar 2016 | B2 |
| 9336336 | Deichmann et al. | May 2016 | B2 |
| 9351810 | Moon | May 2016 | B2 |
| 9375300 | Matov et al. | Jun 2016 | B2 |
| 9403238 | Culp | Aug 2016 | B2 |
| 9408743 | Wagner | Aug 2016 | B1 |
| 9414897 | Wu et al. | Aug 2016 | B2 |
| 9433476 | Khardekar et al. | Sep 2016 | B2 |
| 9439568 | Atiya et al. | Sep 2016 | B2 |
| 9444981 | Bellis et al. | Sep 2016 | B2 |
| 9463287 | Lorberbaum et al. | Oct 2016 | B1 |
| 9492243 | Kuo | Nov 2016 | B2 |
| 9500635 | Islam | Nov 2016 | B2 |
| 9506808 | Jeon et al. | Nov 2016 | B2 |
| 9510918 | Sanchez | Dec 2016 | B2 |
| 9545331 | Ingemarsson-Matzen | Jan 2017 | B2 |
| 9566132 | Stone-Collonge et al. | Feb 2017 | B2 |
| 9584771 | Mandelis et al. | Feb 2017 | B2 |
| 9589329 | Levin | Mar 2017 | B2 |
| 9675427 | Kopelman | Jun 2017 | B2 |
| 9675430 | Verker et al. | Jun 2017 | B2 |
| 9693839 | Atiya et al. | Jul 2017 | B2 |
| 9730769 | Chen et al. | Aug 2017 | B2 |
| 9744006 | Ross | Aug 2017 | B2 |
| 9820829 | Kuo | Nov 2017 | B2 |
| 9830688 | Levin | Nov 2017 | B2 |
| 9844421 | Moss et al. | Dec 2017 | B2 |
| 9848985 | Yang et al. | Dec 2017 | B2 |
| 9861451 | Davis | Jan 2018 | B1 |
| 9936186 | Jesenko et al. | Apr 2018 | B2 |
| 10123706 | Elbaz et al. | Nov 2018 | B2 |
| 10123853 | Moss et al. | Nov 2018 | B2 |
| 10154889 | Chen et al. | Dec 2018 | B2 |
| 10159541 | Bindayel | Dec 2018 | B2 |
| 10172693 | Brandt et al. | Jan 2019 | B2 |
| 10195690 | Culp | Feb 2019 | B2 |
| 10231801 | Korytov et al. | Mar 2019 | B2 |
| 10238472 | Levin | Mar 2019 | B2 |
| 10258432 | Webber | Apr 2019 | B2 |
| 20010002310 | Chishti et al. | May 2001 | A1 |
| 20010032100 | Mahmud et al. | Oct 2001 | A1 |
| 20010038705 | Rubbert et al. | Nov 2001 | A1 |
| 20010041320 | Phan et al. | Nov 2001 | A1 |
| 20020004727 | Knaus et al. | Jan 2002 | A1 |
| 20020007284 | Schurenberg et al. | Jan 2002 | A1 |
| 20020010568 | Rubbert et al. | Jan 2002 | A1 |
| 20020015934 | Rubbert et al. | Feb 2002 | A1 |
| 20020025503 | Chapoulaud et al. | Feb 2002 | A1 |
| 20020026105 | Drazen | Feb 2002 | A1 |
| 20020028417 | Chapoulaud et al. | Mar 2002 | A1 |
| 20020035572 | Takatori et al. | Mar 2002 | A1 |
| 20020064752 | Durbin et al. | May 2002 | A1 |
| 20020064759 | Durbin et al. | May 2002 | A1 |
| 20020087551 | Hickey et al. | Jul 2002 | A1 |
| 20020107853 | Hofmann et al. | Aug 2002 | A1 |
| 20020188478 | Breeland et al. | Dec 2002 | A1 |
| 20020192617 | Phan et al. | Dec 2002 | A1 |
| 20030000927 | Kanaya et al. | Jan 2003 | A1 |
| 20030009252 | Pavlovskaia et al. | Jan 2003 | A1 |
| 20030019848 | Nicholas et al. | Jan 2003 | A1 |
| 20030021453 | Weise et al. | Jan 2003 | A1 |
| 20030035061 | Iwaki et al. | Feb 2003 | A1 |
| 20030049581 | Deluke | Mar 2003 | A1 |
| 20030057192 | Patel | Mar 2003 | A1 |
| 20030059736 | Lai et al. | Mar 2003 | A1 |
| 20030060532 | Subelka et al. | Mar 2003 | A1 |
| 20030068598 | Vallittu et al. | Apr 2003 | A1 |
| 20030095697 | Wood et al. | May 2003 | A1 |
| 20030101079 | McLaughlin | May 2003 | A1 |
| 20030103060 | Anderson et al. | Jun 2003 | A1 |
| 20030120517 | Eida et al. | Jun 2003 | A1 |
| 20030139834 | Nikolskiy et al. | Jul 2003 | A1 |
| 20030144886 | Taira | Jul 2003 | A1 |
| 20030172043 | Guyon et al. | Sep 2003 | A1 |
| 20030190575 | Hilliard | Oct 2003 | A1 |
| 20030192867 | Yamazaki et al. | Oct 2003 | A1 |
| 20030207224 | Lotte | Nov 2003 | A1 |
| 20030215764 | Kopelman et al. | Nov 2003 | A1 |
| 20030224311 | Cronauer | Dec 2003 | A1 |
| 20030224313 | Bergersen | Dec 2003 | A1 |
| 20030224314 | Bergersen | Dec 2003 | A1 |
| 20040002873 | Sachdeva | Jan 2004 | A1 |
| 20040009449 | Mah et al. | Jan 2004 | A1 |
| 20040013994 | Goldberg et al. | Jan 2004 | A1 |
| 20040019262 | Perelgut | Jan 2004 | A1 |
| 20040029078 | Marshall | Feb 2004 | A1 |
| 20040038168 | Choi et al. | Feb 2004 | A1 |
| 20040054304 | Raby | Mar 2004 | A1 |
| 20040054358 | Cox et al. | Mar 2004 | A1 |
| 20040058295 | Bergersen | Mar 2004 | A1 |
| 20040068199 | Echauz et al. | Apr 2004 | A1 |
| 20040078222 | Khan et al. | Apr 2004 | A1 |
| 20040080621 | Fisher et al. | Apr 2004 | A1 |
| 20040094165 | Cook | May 2004 | A1 |
| 20040107118 | Harnsberger et al. | Jun 2004 | A1 |
| 20040133083 | Comaniciu et al. | Jul 2004 | A1 |
| 20040152036 | Abolfathi | Aug 2004 | A1 |
| 20040158194 | Wolff et al. | Aug 2004 | A1 |
| 20040166463 | Wen et al. | Aug 2004 | A1 |
| 20040167646 | Jelonek et al. | Aug 2004 | A1 |
| 20040170941 | Phan et al. | Sep 2004 | A1 |
| 20040193036 | Zhou et al. | Sep 2004 | A1 |
| 20040197728 | Abolfathi et al. | Oct 2004 | A1 |
| 20040214128 | Sachdeva et al. | Oct 2004 | A1 |
| 20040219479 | Malin et al. | Nov 2004 | A1 |
| 20040220691 | Hofmeister et al. | Nov 2004 | A1 |
| 20040229185 | Knopp | Nov 2004 | A1 |
| 20040259049 | Kopelman et al. | Dec 2004 | A1 |
| 20050003318 | Choi et al. | Jan 2005 | A1 |
| 20050023356 | Wiklof et al. | Feb 2005 | A1 |
| 20050031196 | Moghaddam et al. | Feb 2005 | A1 |
| 20050037312 | Uchida | Feb 2005 | A1 |
| 20050038669 | Sachdeva et al. | Feb 2005 | A1 |
| 20050040551 | Biegler et al. | Feb 2005 | A1 |
| 20050042569 | Plan et al. | Feb 2005 | A1 |
| 20050042577 | Kvitrud et al. | Feb 2005 | A1 |
| 20050048433 | Hilliard | Mar 2005 | A1 |
| 20050074717 | Cleary et al. | Apr 2005 | A1 |
| 20050089822 | Geng | Apr 2005 | A1 |
| 20050100333 | Kerschbaumer et al. | May 2005 | A1 |
| 20050108052 | Omaboe | May 2005 | A1 |
| 20050113317 | Robinson et al. | May 2005 | A1 |
| 20050131738 | Morris | Jun 2005 | A1 |
| 20050144150 | Ramamurthy et al. | Jun 2005 | A1 |
| 20050171594 | Machan et al. | Aug 2005 | A1 |
| 20050171630 | Dinauer et al. | Aug 2005 | A1 |
| 20050181333 | Karazivan et al. | Aug 2005 | A1 |
| 20050186524 | Abolfathi et al. | Aug 2005 | A1 |
| 20050186526 | Stewart et al. | Aug 2005 | A1 |
| 20050216314 | Secor | Sep 2005 | A1 |
| 20050233276 | Kopelman et al. | Oct 2005 | A1 |
| 20050239013 | Sachdeva | Oct 2005 | A1 |
| 20050244781 | Abels et al. | Nov 2005 | A1 |
| 20050244791 | Davis et al. | Nov 2005 | A1 |
| 20050271996 | Sporbert et al. | Dec 2005 | A1 |
| 20060056670 | Hamadeh | Mar 2006 | A1 |
| 20060057533 | McGann | Mar 2006 | A1 |
| 20060063135 | Mehl | Mar 2006 | A1 |
| 20060078842 | Sachdeva et al. | Apr 2006 | A1 |
| 20060084024 | Farrell | Apr 2006 | A1 |
| 20060093982 | Wen | May 2006 | A1 |
| 20060098007 | Rouet et al. | May 2006 | A1 |
| 20060099545 | Lia et al. | May 2006 | A1 |
| 20060099546 | Bergersen | May 2006 | A1 |
| 20060110698 | Robson | May 2006 | A1 |
| 20060111631 | Kelliher et al. | May 2006 | A1 |
| 20060115785 | Li et al. | Jun 2006 | A1 |
| 20060137813 | Robrecht et al. | Jun 2006 | A1 |
| 20060147872 | Andreiko | Jul 2006 | A1 |
| 20060154198 | Durbin et al. | Jul 2006 | A1 |
| 20060154207 | Kuo | Jul 2006 | A1 |
| 20060173715 | Wang | Aug 2006 | A1 |
| 20060183082 | Quadling et al. | Aug 2006 | A1 |
| 20060188834 | Hilliard | Aug 2006 | A1 |
| 20060188848 | Tricca et al. | Aug 2006 | A1 |
| 20060194163 | Tricca et al. | Aug 2006 | A1 |
| 20060199153 | Liu et al. | Sep 2006 | A1 |
| 20060204078 | Orth et al. | Sep 2006 | A1 |
| 20060223022 | Solomon | Oct 2006 | A1 |
| 20060223023 | Lai et al. | Oct 2006 | A1 |
| 20060223032 | Fried et al. | Oct 2006 | A1 |
| 20060223342 | Borst et al. | Oct 2006 | A1 |
| 20060234179 | Wen et al. | Oct 2006 | A1 |
| 20060257815 | De Dominicis | Nov 2006 | A1 |
| 20060275729 | Fornoff | Dec 2006 | A1 |
| 20060275731 | Wen et al. | Dec 2006 | A1 |
| 20060275736 | Wen et al. | Dec 2006 | A1 |
| 20060277075 | Salwan | Dec 2006 | A1 |
| 20060290693 | Zhou et al. | Dec 2006 | A1 |
| 20060292520 | Dillon et al. | Dec 2006 | A1 |
| 20070031775 | Andreiko | Feb 2007 | A1 |
| 20070046865 | Umeda et al. | Mar 2007 | A1 |
| 20070053048 | Kumar et al. | Mar 2007 | A1 |
| 20070054237 | Neuschafer | Mar 2007 | A1 |
| 20070065768 | Nadav | Mar 2007 | A1 |
| 20070087300 | Willison et al. | Apr 2007 | A1 |
| 20070087302 | Reising et al. | Apr 2007 | A1 |
| 20070106138 | Beiski | May 2007 | A1 |
| 20070122592 | Anderson et al. | May 2007 | A1 |
| 20070128574 | Kuo et al. | Jun 2007 | A1 |
| 20070141525 | Cinader, Jr. | Jun 2007 | A1 |
| 20070141526 | Eisenberg et al. | Jun 2007 | A1 |
| 20070143135 | Lindquist et al. | Jun 2007 | A1 |
| 20070168152 | Matov et al. | Jul 2007 | A1 |
| 20070172112 | Paley et al. | Jul 2007 | A1 |
| 20070172291 | Yokoyama | Jul 2007 | A1 |
| 20070178420 | Keski-Nisula et al. | Aug 2007 | A1 |
| 20070183633 | Hoffmann | Aug 2007 | A1 |
| 20070184402 | Boutoussov et al. | Aug 2007 | A1 |
| 20070185732 | Hicks et al. | Aug 2007 | A1 |
| 20070192137 | Ombrellaro | Aug 2007 | A1 |
| 20070199929 | Rippl et al. | Aug 2007 | A1 |
| 20070215582 | Roeper et al. | Sep 2007 | A1 |
| 20070218422 | Ehrenfeld | Sep 2007 | A1 |
| 20070231765 | Phan et al. | Oct 2007 | A1 |
| 20070238065 | Sherwood et al. | Oct 2007 | A1 |
| 20070239488 | DeRosso | Oct 2007 | A1 |
| 20070263226 | Kurtz et al. | Nov 2007 | A1 |
| 20080013727 | Uemura | Jan 2008 | A1 |
| 20080020350 | Matov et al. | Jan 2008 | A1 |
| 20080045053 | Stadler et al. | Feb 2008 | A1 |
| 20080057461 | Cheng et al. | Mar 2008 | A1 |
| 20080057467 | Gittelson | Mar 2008 | A1 |
| 20080057479 | Grenness | Mar 2008 | A1 |
| 20080059238 | Park et al. | Mar 2008 | A1 |
| 20080090208 | Rubbert | Apr 2008 | A1 |
| 20080094389 | Rouet et al. | Apr 2008 | A1 |
| 20080113317 | Kemp et al. | May 2008 | A1 |
| 20080115791 | Heine | May 2008 | A1 |
| 20080118882 | Su | May 2008 | A1 |
| 20080118886 | Liang et al. | May 2008 | A1 |
| 20080141534 | Hilliard | Jun 2008 | A1 |
| 20080169122 | Shiraishi et al. | Jul 2008 | A1 |
| 20080171934 | Greenan et al. | Jul 2008 | A1 |
| 20080176448 | Muller et al. | Jul 2008 | A1 |
| 20080233530 | Cinader | Sep 2008 | A1 |
| 20080242144 | Dietz | Oct 2008 | A1 |
| 20080248443 | Chishti et al. | Oct 2008 | A1 |
| 20080254403 | Hilliard | Oct 2008 | A1 |
| 20080268400 | Moss et al. | Oct 2008 | A1 |
| 20080306724 | Kitching et al. | Dec 2008 | A1 |
| 20090029310 | Pumphrey et al. | Jan 2009 | A1 |
| 20090030290 | Kozuch et al. | Jan 2009 | A1 |
| 20090030347 | Cao | Jan 2009 | A1 |
| 20090040740 | Muller et al. | Feb 2009 | A1 |
| 20090061379 | Yamamoto et al. | Mar 2009 | A1 |
| 20090061381 | Durbin et al. | Mar 2009 | A1 |
| 20090075228 | Kumada et al. | Mar 2009 | A1 |
| 20090087050 | Gandyra | Apr 2009 | A1 |
| 20090098502 | Andreiko | Apr 2009 | A1 |
| 20090099445 | Burger | Apr 2009 | A1 |
| 20090103579 | Ushimaru et al. | Apr 2009 | A1 |
| 20090105523 | Kassayan et al. | Apr 2009 | A1 |
| 20090130620 | Yazdi et al. | May 2009 | A1 |
| 20090136890 | Kang et al. | May 2009 | A1 |
| 20090136893 | Zegarelli | May 2009 | A1 |
| 20090148809 | Kuo et al. | Jun 2009 | A1 |
| 20090170050 | Marcus | Jul 2009 | A1 |
| 20090181346 | Orth | Jul 2009 | A1 |
| 20090191502 | Cao et al. | Jul 2009 | A1 |
| 20090210032 | Beiski et al. | Aug 2009 | A1 |
| 20090218514 | Klunder et al. | Sep 2009 | A1 |
| 20090246726 | Chelnokov et al. | Oct 2009 | A1 |
| 20090281433 | Saadat et al. | Nov 2009 | A1 |
| 20090286195 | Sears et al. | Nov 2009 | A1 |
| 20090298017 | Boerjes et al. | Dec 2009 | A1 |
| 20090305540 | Stadler et al. | Dec 2009 | A1 |
| 20090316966 | Marshall et al. | Dec 2009 | A1 |
| 20090317757 | Lemchen | Dec 2009 | A1 |
| 20100015565 | Carrillo Gonzalez et al. | Jan 2010 | A1 |
| 20100019170 | Hart et al. | Jan 2010 | A1 |
| 20100028825 | Lemchen | Feb 2010 | A1 |
| 20100045902 | Ikeda et al. | Feb 2010 | A1 |
| 20100062394 | Jones et al. | Mar 2010 | A1 |
| 20100068676 | Mason et al. | Mar 2010 | A1 |
| 20100086890 | Kuo | Apr 2010 | A1 |
| 20100138025 | Morton et al. | Jun 2010 | A1 |
| 20100142789 | Chang et al. | Jun 2010 | A1 |
| 20100145664 | Hultgren et al. | Jun 2010 | A1 |
| 20100145898 | Malfliet et al. | Jun 2010 | A1 |
| 20100152599 | DuHamel et al. | Jun 2010 | A1 |
| 20100165275 | Tsukamoto et al. | Jul 2010 | A1 |
| 20100167225 | Kuo | Jul 2010 | A1 |
| 20100179789 | Sachdeva et al. | Jul 2010 | A1 |
| 20100193482 | Ow et al. | Aug 2010 | A1 |
| 20100196837 | Farrell | Aug 2010 | A1 |
| 20100216085 | Kopelman | Aug 2010 | A1 |
| 20100217130 | Weinlaender | Aug 2010 | A1 |
| 20100231577 | Kim et al. | Sep 2010 | A1 |
| 20100268363 | Karim et al. | Oct 2010 | A1 |
| 20100268515 | Vogt et al. | Oct 2010 | A1 |
| 20100279243 | Cinader et al. | Nov 2010 | A1 |
| 20100280798 | Pattijn | Nov 2010 | A1 |
| 20100281370 | Rohaly et al. | Nov 2010 | A1 |
| 20100303316 | Bullis et al. | Dec 2010 | A1 |
| 20100312484 | DuHamel et al. | Dec 2010 | A1 |
| 20100327461 | Co et al. | Dec 2010 | A1 |
| 20110007920 | Abolfathi et al. | Jan 2011 | A1 |
| 20110012901 | Kaplanyan | Jan 2011 | A1 |
| 20110045428 | Boltunov et al. | Feb 2011 | A1 |
| 20110056350 | Gale et al. | Mar 2011 | A1 |
| 20110065060 | Teixeira et al. | Mar 2011 | A1 |
| 20110081625 | Fuh | Apr 2011 | A1 |
| 20110091832 | Kim et al. | Apr 2011 | A1 |
| 20110102549 | Takahashi | May 2011 | A1 |
| 20110102566 | Zakian et al. | May 2011 | A1 |
| 20110104630 | Matov et al. | May 2011 | A1 |
| 20110136072 | Li et al. | Jun 2011 | A1 |
| 20110136090 | Kazemi | Jun 2011 | A1 |
| 20110143300 | Villaalba | Jun 2011 | A1 |
| 20110143673 | Landesman et al. | Jun 2011 | A1 |
| 20110159452 | Huang | Jun 2011 | A1 |
| 20110164810 | Zang et al. | Jul 2011 | A1 |
| 20110207072 | Schiemann | Aug 2011 | A1 |
| 20110212420 | Vuillemot | Sep 2011 | A1 |
| 20110220623 | Beutler | Sep 2011 | A1 |
| 20110235045 | Koerner et al. | Sep 2011 | A1 |
| 20110269092 | Kuo et al. | Nov 2011 | A1 |
| 20110316994 | Lemchen | Dec 2011 | A1 |
| 20120028210 | Hegyi et al. | Feb 2012 | A1 |
| 20120029883 | Heinz et al. | Feb 2012 | A1 |
| 20120040311 | Nilsson | Feb 2012 | A1 |
| 20120064477 | Schmitt | Mar 2012 | A1 |
| 20120081786 | Mizuyama et al. | Apr 2012 | A1 |
| 20120086681 | Kim et al. | Apr 2012 | A1 |
| 20120115107 | Adams | May 2012 | A1 |
| 20120129117 | McCance | May 2012 | A1 |
| 20120147912 | Moench et al. | Jun 2012 | A1 |
| 20120150494 | Anderson et al. | Jun 2012 | A1 |
| 20120166213 | Arnone et al. | Jun 2012 | A1 |
| 20120172678 | Logan et al. | Jul 2012 | A1 |
| 20120281293 | Gronenborn et al. | Nov 2012 | A1 |
| 20120295216 | Dykes et al. | Nov 2012 | A1 |
| 20120322025 | Ozawa et al. | Dec 2012 | A1 |
| 20130029284 | Teasdale | Jan 2013 | A1 |
| 20130081272 | Johnson et al. | Apr 2013 | A1 |
| 20130089828 | Borovinskih et al. | Apr 2013 | A1 |
| 20130095446 | Andreiko et al. | Apr 2013 | A1 |
| 20130103176 | Kopelman et al. | Apr 2013 | A1 |
| 20130109932 | Saadat | May 2013 | A1 |
| 20130110469 | Kopelman | May 2013 | A1 |
| 20130150689 | Shaw-Klein | Jun 2013 | A1 |
| 20130163627 | Seurin et al. | Jun 2013 | A1 |
| 20130201488 | Ishihara | Aug 2013 | A1 |
| 20130204599 | Matov et al. | Aug 2013 | A1 |
| 20130209952 | Kuo et al. | Aug 2013 | A1 |
| 20130235165 | Gharib et al. | Sep 2013 | A1 |
| 20130252195 | Popat | Sep 2013 | A1 |
| 20130266326 | Joseph et al. | Oct 2013 | A1 |
| 20130278396 | Kimmel | Oct 2013 | A1 |
| 20130280671 | Brawn et al. | Oct 2013 | A1 |
| 20130286174 | Urakabe | Oct 2013 | A1 |
| 20130293824 | Yoneyama et al. | Nov 2013 | A1 |
| 20130323664 | Parker | Dec 2013 | A1 |
| 20130323671 | Dillon et al. | Dec 2013 | A1 |
| 20130323674 | Hakomori et al. | Dec 2013 | A1 |
| 20130325431 | See et al. | Dec 2013 | A1 |
| 20130337412 | Kwon | Dec 2013 | A1 |
| 20140061974 | Tyler | Mar 2014 | A1 |
| 20140081091 | Abolfathi et al. | Mar 2014 | A1 |
| 20140093160 | Porikli et al. | Apr 2014 | A1 |
| 20140106289 | Kozlowski | Apr 2014 | A1 |
| 20140122027 | Andreiko et al. | May 2014 | A1 |
| 20140136222 | Arnone et al. | May 2014 | A1 |
| 20140142902 | Chelnokov et al. | May 2014 | A1 |
| 20140178829 | Kim | Jun 2014 | A1 |
| 20140265034 | Dudley | Sep 2014 | A1 |
| 20140272774 | Dillon et al. | Sep 2014 | A1 |
| 20140280376 | Kuo | Sep 2014 | A1 |
| 20140294273 | Jaisson | Oct 2014 | A1 |
| 20140313299 | Gebhardt et al. | Oct 2014 | A1 |
| 20140329194 | Sachdeva et al. | Nov 2014 | A1 |
| 20140342301 | Fleer et al. | Nov 2014 | A1 |
| 20140350354 | Stenzler et al. | Nov 2014 | A1 |
| 20140363778 | Parker | Dec 2014 | A1 |
| 20150002649 | Nowak et al. | Jan 2015 | A1 |
| 20150004553 | Li et al. | Jan 2015 | A1 |
| 20150021210 | Kesling | Jan 2015 | A1 |
| 20150079531 | Heine | Mar 2015 | A1 |
| 20150094564 | Tashman et al. | Apr 2015 | A1 |
| 20150097315 | DeSimone et al. | Apr 2015 | A1 |
| 20150097316 | DeSimone et al. | Apr 2015 | A1 |
| 20150102532 | DeSimone et al. | Apr 2015 | A1 |
| 20150132708 | Kuo | May 2015 | A1 |
| 20150140502 | Brawn et al. | May 2015 | A1 |
| 20150150501 | George et al. | Jun 2015 | A1 |
| 20150164335 | Van Der Poel et al. | Jun 2015 | A1 |
| 20150173856 | Iowe et al. | Jun 2015 | A1 |
| 20150182303 | Abraham et al. | Jul 2015 | A1 |
| 20150216626 | Ranjbar | Aug 2015 | A1 |
| 20150216716 | Anitua Aldecoa | Aug 2015 | A1 |
| 20150230885 | Wucher | Aug 2015 | A1 |
| 20150238280 | Wu et al. | Aug 2015 | A1 |
| 20150238283 | Tanugula et al. | Aug 2015 | A1 |
| 20150306486 | Logan et al. | Oct 2015 | A1 |
| 20150320320 | Kopelman et al. | Nov 2015 | A1 |
| 20150320532 | Matty et al. | Nov 2015 | A1 |
| 20150325044 | Lebovitz | Nov 2015 | A1 |
| 20150338209 | Knüttel | Nov 2015 | A1 |
| 20150351638 | Amato | Dec 2015 | A1 |
| 20150374469 | Konno et al. | Dec 2015 | A1 |
| 20160000332 | Atiya et al. | Jan 2016 | A1 |
| 20160003610 | Lampert et al. | Jan 2016 | A1 |
| 20160022185 | Agarwal et al. | Jan 2016 | A1 |
| 20160042509 | Andreiko et al. | Feb 2016 | A1 |
| 20160051345 | Levin | Feb 2016 | A1 |
| 20160064898 | Atiya et al. | Mar 2016 | A1 |
| 20160067013 | Morton et al. | Mar 2016 | A1 |
| 20160081768 | Kopelman et al. | Mar 2016 | A1 |
| 20160081769 | Kimura et al. | Mar 2016 | A1 |
| 20160095668 | Kuo et al. | Apr 2016 | A1 |
| 20160100924 | Wilson et al. | Apr 2016 | A1 |
| 20160106520 | Borovinskih et al. | Apr 2016 | A1 |
| 20160120621 | Li et al. | May 2016 | A1 |
| 20160135924 | Choi et al. | May 2016 | A1 |
| 20160135925 | Mason et al. | May 2016 | A1 |
| 20160163115 | Furst | Jun 2016 | A1 |
| 20160217708 | Levin et al. | Jul 2016 | A1 |
| 20160220105 | Durent | Aug 2016 | A1 |
| 20160220200 | Sandholm et al. | Aug 2016 | A1 |
| 20160225151 | Cocco et al. | Aug 2016 | A1 |
| 20160228213 | Tod et al. | Aug 2016 | A1 |
| 20160242871 | Morton et al. | Aug 2016 | A1 |
| 20160246936 | Kahn | Aug 2016 | A1 |
| 20160287358 | Nowak et al. | Oct 2016 | A1 |
| 20160296303 | Parker | Oct 2016 | A1 |
| 20160302885 | Matov et al. | Oct 2016 | A1 |
| 20160328843 | Graham et al. | Nov 2016 | A1 |
| 20160338626 | Wang et al. | Nov 2016 | A1 |
| 20160338799 | Wu et al. | Nov 2016 | A1 |
| 20160346063 | Schulhof et al. | Dec 2016 | A1 |
| 20160367188 | Malik et al. | Dec 2016 | A1 |
| 20160367339 | Khardekar et al. | Dec 2016 | A1 |
| 20170007365 | Kopelman et al. | Jan 2017 | A1 |
| 20170007366 | Kopelman et al. | Jan 2017 | A1 |
| 20170007367 | Li et al. | Jan 2017 | A1 |
| 20170007368 | Boronkay | Jan 2017 | A1 |
| 20170020633 | Stone-Collonge et al. | Jan 2017 | A1 |
| 20170049311 | Borovinskih et al. | Feb 2017 | A1 |
| 20170049326 | Alfano et al. | Feb 2017 | A1 |
| 20170056131 | Alauddin | Mar 2017 | A1 |
| 20170071705 | Kuo | Mar 2017 | A1 |
| 20170086943 | Mah | Mar 2017 | A1 |
| 20170100209 | Wen | Apr 2017 | A1 |
| 20170100212 | Sherwood et al. | Apr 2017 | A1 |
| 20170100213 | Kuo | Apr 2017 | A1 |
| 20170100214 | Wen | Apr 2017 | A1 |
| 20170105815 | Matov et al. | Apr 2017 | A1 |
| 20170115236 | Renlund | Apr 2017 | A1 |
| 20170122846 | Holmes | May 2017 | A1 |
| 20170135792 | Webber | May 2017 | A1 |
| 20170135793 | Webber et al. | May 2017 | A1 |
| 20170156821 | Kopelman et al. | Jun 2017 | A1 |
| 20170165032 | Webber et al. | Jun 2017 | A1 |
| 20170215739 | Miyasato | Aug 2017 | A1 |
| 20170251954 | Lotan et al. | Sep 2017 | A1 |
| 20170252140 | Murphy et al. | Sep 2017 | A1 |
| 20170258555 | Kopelman | Sep 2017 | A1 |
| 20170265970 | Verker | Sep 2017 | A1 |
| 20170319054 | Miller et al. | Nov 2017 | A1 |
| 20170319296 | Webber et al. | Nov 2017 | A1 |
| 20170325690 | Salah et al. | Nov 2017 | A1 |
| 20170340411 | Akselrod | Nov 2017 | A1 |
| 20170340415 | Choi et al. | Nov 2017 | A1 |
| 20170347956 | Zegarelli | Dec 2017 | A1 |
| 20180000563 | Shanjani et al. | Jan 2018 | A1 |
| 20180000565 | Shanjani et al. | Jan 2018 | A1 |
| 20180028064 | Elbaz et al. | Feb 2018 | A1 |
| 20180028065 | Elbaz et al. | Feb 2018 | A1 |
| 20180055602 | Kopelman et al. | Mar 2018 | A1 |
| 20180071054 | Ha | Mar 2018 | A1 |
| 20180071055 | Kuo | Mar 2018 | A1 |
| 20180078334 | Lotan | Mar 2018 | A1 |
| 20180085059 | Lee | Mar 2018 | A1 |
| 20180096465 | Levin | Apr 2018 | A1 |
| 20180125610 | Carrier et al. | May 2018 | A1 |
| 20180153648 | Shanjani et al. | Jun 2018 | A1 |
| 20180153649 | Wu et al. | Jun 2018 | A1 |
| 20180153733 | Kuo | Jun 2018 | A1 |
| 20180168788 | Fernie | Jun 2018 | A1 |
| 20180192877 | Atiya et al. | Jul 2018 | A1 |
| 20180228359 | Meyer et al. | Aug 2018 | A1 |
| 20180280118 | Cramer | Oct 2018 | A1 |
| 20180284727 | Cramer et al. | Oct 2018 | A1 |
| 20180318043 | Li et al. | Nov 2018 | A1 |
| 20180368944 | Sato et al. | Dec 2018 | A1 |
| 20180368961 | Shanjani | Dec 2018 | A1 |
| 20190026599 | Salah et al. | Jan 2019 | A1 |
| 20190046296 | Kopelman et al. | Feb 2019 | A1 |
| 20190046297 | Kopelman et al. | Feb 2019 | A1 |
| 20190069975 | Cam et al. | Mar 2019 | A1 |
| 20190076216 | Moss et al. | Mar 2019 | A1 |
| 20190090983 | Webber et al. | Mar 2019 | A1 |
| 20200214817 | Shanjani et al. | Jul 2020 | A1 |
| Number | Date | Country |
|---|---|---|
| 517102 | Nov 1977 | AU |
| 3031677 | Nov 1977 | AU |
| 5598894 | Jun 1994 | AU |
| 1121955 | Apr 1982 | CA |
| 1655732 | Aug 2005 | CN |
| 1655733 | Aug 2005 | CN |
| 102017658 | Apr 2011 | CN |
| 103889364 | Jun 2014 | CN |
| 204092220 | Jan 2015 | CN |
| 105496575 | Apr 2016 | CN |
| 105997274 | Oct 2016 | CN |
| 2749802 | May 1978 | DE |
| 3526198 | Feb 1986 | DE |
| 4207169 | Sep 1993 | DE |
| 69327661 | Jul 2000 | DE |
| 102005043627 | Mar 2007 | DE |
| 202010017014 | Mar 2011 | DE |
| 102011051443 | Jan 2013 | DE |
| 202012011899 | Jan 2013 | DE |
| 102014225457 | Jun 2016 | DE |
| 0428152 | May 1991 | EP |
| 490848 | Jun 1992 | EP |
| 541500 | May 1993 | EP |
| 714632 | May 1997 | EP |
| 774933 | Dec 2000 | EP |
| 731673 | May 2001 | EP |
| 1941843 | Jul 2008 | EP |
| 2437027 | Apr 2012 | EP |
| 2447754 | May 2012 | EP |
| 1989764 | Jul 2012 | EP |
| 2332221 | Nov 2012 | EP |
| 2596553 | Dec 2013 | EP |
| 2612300 | Feb 2015 | EP |
| 2848229 | Mar 2015 | EP |
| 463897 | Jan 1980 | ES |
| 2455066 | Apr 2014 | ES |
| 2369828 | Jun 1978 | FR |
| 2867377 | Sep 2005 | FR |
| 2930334 | Oct 2009 | FR |
| 1550777 | Aug 1979 | GB |
| 53-058191 | May 1978 | JP |
| 4028359 | Jan 1992 | JP |
| 08-508174 | Sep 1996 | JP |
| 09-19443 | Jan 1997 | JP |
| 2003245289 | Sep 2003 | JP |
| 2000339468 | Sep 2004 | JP |
| 2005527320 | Sep 2005 | JP |
| 2005527321 | Sep 2005 | JP |
| 2006043121 | Feb 2006 | JP |
| 2007151614 | Jun 2007 | JP |
| 2007260158 | Oct 2007 | JP |
| 2007537824 | Dec 2007 | JP |
| 2008067732 | Mar 2008 | JP |
| 2008523370 | Jul 2008 | JP |
| 04184427 | Nov 2008 | JP |
| 2009000412 | Jan 2009 | JP |
| 2009018173 | Jan 2009 | JP |
| 2009078133 | Apr 2009 | JP |
| 2009101386 | May 2009 | JP |
| 2009205330 | Sep 2009 | JP |
| 2010017726 | Jan 2010 | JP |
| 2011087733 | May 2011 | JP |
| 2012045143 | Mar 2012 | JP |
| 2013007645 | Jan 2013 | JP |
| 2013192865 | Sep 2013 | JP |
| 201735173 | Feb 2017 | JP |
| 10-20020062793 | Jul 2002 | KR |
| 10-20070108019 | Nov 2007 | KR |
| 10-20090065778 | Jun 2009 | KR |
| 10-1266966 | May 2013 | KR |
| 10-2016-041632 | Apr 2016 | KR |
| 10-2016-0071127 | Jun 2016 | KR |
| 10-1675089 | Nov 2016 | KR |
| 480166 | Mar 2002 | TW |
| WO91004713 | Apr 1991 | WO |
| WO9203102 | Mar 1992 | WO |
| WO94010935 | May 1994 | WO |
| WO9623452 | Aug 1996 | WO |
| WO98032394 | Jul 1998 | WO |
| WO98044865 | Oct 1998 | WO |
| WO0108592 | Feb 2001 | WO |
| WO0185047 | Nov 2001 | WO |
| WO02017776 | Mar 2002 | WO |
| WO02062252 | Aug 2002 | WO |
| WO02095475 | Nov 2002 | WO |
| WO03003932 | Jan 2003 | WO |
| WO2006096558 | Sep 2006 | WO |
| WO2006100700 | Sep 2006 | WO |
| WO2006133548 | Dec 2006 | WO |
| WO2007019709 | Feb 2007 | WO |
| WO2007071341 | Jun 2007 | WO |
| WO2007103377 | Sep 2007 | WO |
| WO2008115654 | Sep 2008 | WO |
| WO2009016645 | Feb 2009 | WO |
| WO2009085752 | Jul 2009 | WO |
| WO2009089129 | Jul 2009 | WO |
| WO2009146788 | Dec 2009 | WO |
| WO2009146789 | Dec 2009 | WO |
| WO2010059988 | May 2010 | WO |
| WO2010123892 | Oct 2010 | WO |
| WO2012007003 | Jan 2012 | WO |
| WO2012064684 | May 2012 | WO |
| WO2012074304 | Jun 2012 | WO |
| WO2012078980 | Jun 2012 | WO |
| WO2012083968 | Jun 2012 | WO |
| WO2012140021 | Oct 2012 | WO |
| WO2013058879 | Apr 2013 | WO |
| WO2014068107 | May 2014 | WO |
| WO2014091865 | Jun 2014 | WO |
| WO2014143911 | Sep 2014 | WO |
| WO2015015289 | Feb 2015 | WO |
| WO2015063032 | May 2015 | WO |
| WO2015112638 | Jul 2015 | WO |
| WO2015176004 | Nov 2015 | WO |
| WO2016004415 | Jan 2016 | WO |
| WO2016042393 | Mar 2016 | WO |
| WO2016061279 | Apr 2016 | WO |
| WO2016084066 | Jun 2016 | WO |
| WO2016099471 | Jun 2016 | WO |
| WO2016113745 | Jul 2016 | WO |
| WO2016116874 | Jul 2016 | WO |
| 2016142414 | Sep 2016 | WO |
| WO2016200177 | Dec 2016 | WO |
| WO2017006176 | Jan 2017 | WO |
| WO2017182654 | Oct 2017 | WO |
| WO2018057547 | Mar 2018 | WO |
| WO2018085718 | May 2018 | WO |
| WO2018232113 | Dec 2018 | WO |
| WO2019018784 | Jan 2019 | WO |
| Entry |
|---|
| US 8,553,966 B1, 10/2013, Alpern et al. (withdrawn) |
| beautyworlds.com; Virtual plastic surgery—beautysurge.com announces launch of cosmetic surgery digital imaging services; 5 pages; retrieved from the internet (http://www.beautyworlds.com/cosmossurgdigitalimagning.htm); Mar. 2004. |
| Berland; The use of smile libraries for cosmetic dentistry; Dental Tribunne: Asia pacfic Edition; pp. 16-18; Mar. 29, 2006. |
| Bookstein; Principal warps: Thin-plate splines and decomposition of deformations; IEEE Transactions on pattern analysis and machine intelligence; 11(6); pp. 567-585; Jun. 1989. |
| Cadent Inc.; OrthoCAD ABO user guide; 38 pages; Dec. 21, 2005. |
| Cadent Inc.; Reviewing and modifying an orthoCAD case; 4 pages; Feb. 14, 2005. |
| Daniels et al.; The development of the index of complexity outcome and need (ICON); British Journal of Orthodontics; 27(2); pp. 149-162; Jun. 2000. |
| Dentrix; Dentrix G3, new features; 2 pages; retrieved from the internet (http://www.dentrix.com/g3/new_features/index.asp); on Jun. 6, 2008. |
| Di Giacomo et al.; Clinical application of sterolithographic surgical guides for implant placement: Preliminary results; Journal Periodontolgy; 76(4); pp. 503-507; Apr. 2005. |
| Gansky; Dental data mining: potential pitfalls and practical issues; Advances in Dental Research; 17(1); pp. 109-114; Dec. 2003. |
| Geomagic; Dental reconstruction; 1 page; retrieved from the internet (http://geomagic.com/en/solutions/industry/detal_desc.php) on Jun. 6, 2008. |
| Gottschalk et al.; OBBTree: A hierarchical structure for rapid interference detection; 12 pages; (http://www.cs.unc.edu/?geom/OBB/OBBT.html); retieved from te internet (https://www.cse.iitk.ac.in/users/amit/courses/RMP/presentations/dslamba/presentation/sig96.pdf) on Apr. 25, 2019. |
| gpsdentaire.com; Get a realistic smile simulation in 4 steps with GPS; a smile management software; 10 pages; retrieved from the internet (http://www.gpsdentaire.com/en/preview/) on Jun. 6, 2008. |
| Karaman et al.; A practical method of fabricating a lingual retainer; Am. Journal of Orthodontic and Dentofacial Orthopedics; 124(3); pp. 327-330; Sep. 2003. |
| Mantzikos et al.; Case report: Forced eruption and implant site development; The Angle Orthodontist; 68(2); pp. 179-186; Apr. 1998. |
| Methot; Get the picture with a gps for smile design in 3 steps; Spectrum; 5(4); pp. 100-105; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2006. |
| OrthoCAD downloads; retrieved Jun. 27, 2012 from the internet (www.orthocad.com/download/downloads.asp); 2 pages; Feb. 14, 2005. |
| Page et al.; Validity and accuracy of a risk calculator in predicting periodontal disease; Journal of the American Dental Association; 133(5); pp. 569-576; May 2002. |
| Patterson Dental; Cosmetic imaging; 2 pages retrieved from the internet (http://patterson.eaglesoft.net/cnt_di_cosimg.html) on Jun. 6, 2008. |
| Rose et al.; The role of orthodontics in implant dentistry; British Dental Journal; 201(12); pp. 753-764; Dec. 23, 2006. |
| Rubin et al.; Stress analysis of the human tooth using a three-dimensional finite element model; Journal of Dental Research; 62(2); pp. 82-86; Feb. 1983. |
| Sarment et al.; Accuracy of implant placement with a sterolithographic surgical guide; journal of Oral and Maxillofacial Implants; 118(4); pp. 571-577; Jul. 2003. |
| Smalley; Implants for tooth movement: Determining implant location and orientation: Journal of Esthetic and Restorative Dentistry; 7(2); pp. 62-72; Mar. 1995. |
| Smart Technology; Smile library II; 1 page; retrieved from the internet (http://smart-technology.net/) on Jun. 6, 2008. |
| Smile-Vision_The smile-vision cosmetic imaging system; 2 pages; retrieved from the internet (http://www.smile-vision.net/cos_imaging.php) on Jun. 6, 2008. |
| Szeliski; Introduction to computer vision: Structure from motion; 64 pages; retrieved from the internet (http://robots.stanford.edu/cs223b05/notes/CS%20223-B%20L10%structurefrommotion1b.ppt, on Feb. 3, 2005. |
| Vevin et al.; Pose estimation of teeth through crown-shape matching; In Medical Imaging: Image Processing of International Society of Optics and Photonics; vol. 4684; pp. 955-965; May 9, 2002. |
| Virtual Orthodontics; Our innovative software; 2 pages; (http://www.virtualorthodontics.com/innovativesoftware.html); retrieved from the internet (https://web.archive.org/web/20070518085145/http://www.virtualorthodontics.com/innovativesoftware.html); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2005. |
| Wiedmann; According to the laws of harmony to find the right tooth shape with assistance of the computer; Digital Dental News; 2nd Vol.; pp. 0005-0008; (English Version Included); Apr. 2008. |
| Wong et al.; Computer-aided design/computer-aided manufacturing surgical guidance for placement of dental implants: Case report; Implant Dentistry; 16(2); pp. 123-130; Sep. 2007. |
| Wong et al.; The uses of orthodontic study models in diagnosis and treatment planning; Hong Knog Dental Journal; 3(2); pp. 107-115; Dec. 2006. |
| Yaltara Software; Visual planner; 1 page; retrieved from the internet (http://yaltara.com/vp/) on Jun. 6, 2008. |
| Zhang et al.; Visual speech features extraction for improved speech recognition; 2002 IEEE International conference on Acoustics, Speech and Signal Processing; vol. 2; 4 pages; May 13-17, 2002. |
| Arnone et al.; U.S. Appl. No. 16/235,449 entitled “Method and system for providing indexing and cataloguing of orthodontic related treatment profiles and options,” filed Dec. 28, 2018. |
| Mason et al.; U.S. Appl. No. 16/374,648 entitled “Dental condition evaluation and treatment,” filed Apr. 3, 2019. |
| Brandt et al.; U.S. Appl. No. 16/235,490 entitled “Dental wire attachment,” filed Dec. 28, 2018. |
| Kou; U.S. Appl. No. 16/270,891 entitled “Personal data file,” filed Feb. 8, 2019. |
| AADR. American Association for Dental Research; Summary of Activities; Los Angeles, CA; p. 195; Mar. 20-23,(year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1980. |
| Alcaniz et aL; An Advanced System for the Simulation and Planning of Orthodontic Treatments; Karl Heinz Hohne and Ron Kikinis (eds.); Visualization in Biomedical Computing, 4th Intl. Conf, VBC '96, Hamburg, Germany; Springer-Verlag; pp. 511-520; Sep. 22-25, 1996. |
| Alexander et al.; The DigiGraph Work Station Part 2 Clinical Management; J. Clin. Orthod.; pp. 402-407; (Author Manuscript); Jul. 1990. |
| Align Technology; Align technology announces new teen solution with introduction of invisalign teen with mandibular advancement; 2 pages; retrieved from the internet (http://investor.aligntech.com/static-files/eb4fa6bb-3e62-404f-b74d-32059366a01b); Mar. 6, 2017. |
| Allesee Orthodontic Appliance: Important Tip About Wearing the Red White & Blue Active Clear Retainer System; Allesee Orthodontic Appliances-Pro Lab; 1 page; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1998. |
| Allesee Orthodontic Appliances: DuraClearTM; Product information; 1 page; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1997. |
| Allesee Orthodontic Appliances; The Choice Is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment; ( product information for doctors); retrieved from the internet (http://ormco.com/aoa/appliancesservices/RWB/doctorhtml); 5 pages on May 19, 2003. |
| Allesee Orthodontic Appliances; The Choice Is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment; (product information), 6 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2003. |
| Allesee Orthodontic Appliances; The Choice is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment;(Patient Information); retrieved from the internet (http://ormco.com/aoa/appliancesservices/RWB/patients.html); 2 pages on May 19, 2003. |
| Allesee Orthodontic Appliances; The Red, White & Blue Way to Improve Your Smile; (information for patients), 2 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1992. |
| Allesee Orthodontic Appliances; You may be a candidate for this invisible no-braces treatment; product information for patients; 2 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2002. |
| Altschuler et al.; Analysis of 3-D Data for Comparative 3-D Serial Growth Pattern Studies of Oral-Facial Structures; AADR Abstracts, Program and Abstracts of Papers, 57th General Session, IADR Annual Session, Mar. 29, 1979-Apr. 1, 1979, New Orleans Marriot; Journal of Dental Research; vol. 58, Special Issue A, p. 221; Jan. 1979. |
| Altschuler et al.; Laser Electro-Optic System for Rapid Three-Dimensional (3D) Topographic Mapping of Surfaces; Optical Engineering; 20(6); pp. 953-961; Dec. 1981. |
| Altschuler et al.; Measuring Surfaces Space-Coded by a Laser-Projected Dot Matrix; SPIE Imaging q Applications for Automated Industrial Inspection and Assembly; vol. 182; pp. 187-191; Oct. 10, 1979. |
| Altschuler; 3D Mapping of Maxillo-Facial Prosthesis; AADR Abstract #607; 2 pages total, (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1980. |
| Alves et al.; New trends in food allergens detection: toward biosensing strategies; Critical Reviews in Food Science and Nutrition; 56(14); pp. 2304-2319; doi: 10.1080/10408398.2013.831026; Oct. 2016. |
| Andersson et al.; Clinical Results with Titanium Crowns Fabricated with Machine Duplication and Spark Erosion; Acta Odontologica Scandinavica; 47(5); pp. 279-286; Oct. 1989. |
| Andrews, The Six Keys to Optimal Occlusion Straight Wire, Chapter 3, L.A. Wells; pp. 13-24; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1989. |
| Barone et al.; Creation of 3D multi-body orthodontic models by using independent imaging sensors; Sensors; 13(2); pp. 2033-2050; Feb. 5, 2013. |
| Bartels et al.; An Introduction to Splines for Use in Computer Graphics and Geometric Modeling; Morgan Kaufmann Publishers; pp. 422-425 Jan. 1, 1987. |
| Baumrind et al, “Mapping the Skull in 3-D,” reprinted from J. Calif. Dent. Assoc, 48(2), 11 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) Fall Issue 1972. |
| Baumrind et al.; A Stereophotogrammetric System for the Detection of Prosthesis Loosening in Total Hip Arthroplasty; NATO Symposium on Applications of Human Biostereometrics; SPIE; vol. 166; pp. 112-123; Jul. 9-13, 1978. |
| Baumrind; A System for Cranio facial Mapping Through the Integration of Data from Stereo X-Ray Films and Stereo Photographs; an invited paper submitted to the 1975 American Society of Photogram Symposium on Close-Range Photogram Systems; University of Illinois; pp. 142-166; Aug. 26-30, 1975. |
| Baumrind; Integrated Three-Dimensional Craniofacial Mapping: Background, Principles, and Perspectives; Seminars in Orthodontics; 7(4); pp. 223-232; Dec. 2001. |
| Begole et al.; A Computer System for the Analysis of Dental Casts; The Angle Orthodontist; 51(3); pp. 252-258; Jul. 1981. |
| Bernard et al; Computerized Diagnosis in Orthodontics for Epidemiological Studies: A ProgressReport; (Abstract Only), J. Dental Res. Special Issue, vol. 67, p. 169, paper presented at International Association for Dental Research 66th General Session, Montreal Canada; Mar. 9-13, 1988. |
| Bhatia et al.; A Computer-Aided Design for Orthognathic Surgery; British Journal of Oral and Maxillofacial Surgery; 22(4); pp. 237-253; Aug. 1, 1984. |
| Biggerstaff et al.; Computerized Analysis of Occlusion in the Postcanine Dentition; American Journal of Orthodontics; 61(3); pp. 245-254; Mar. 1972. |
| Biggerstaff; Computerized Diagnostic Setups and Simulations; Angle Orthodontist; 40(I); pp. 28-36; Jan. 1970. |
| Biostar Operation & Training Manual. Great Lakes Orthodontics, Ltd. 199 Fire Tower Drive,Tonawanda, New York. 14150-5890, 20 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1990. |
| Blu et al.; Linear interpolation revitalized; IEEE Transactions on Image Processing; 13(5); pp. 710-719; May 2004. |
| Bourke, Coordinate System Transformation; 1 page; retrived from the internet (http://astronomy.swin.edu.au/` pbourke/prolection/coords) on Nov. 5, 2004; Jun. 1996. |
| Boyd et al.; Three Dimensional Diagnosis and Orthodontic Treatment of Complex Malocclusions With the Invisalipn Appliance; Seminars in Orthodontics; 7(4); pp. 274-293; Dec. 2001. |
| Brandestini et al.; Computer Machined Ceramic Inlays: In Vitro Marginal Adaptation; J. Dent. Res. Special Issue; (Abstract 305); vol. 64; p. 208; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1985. |
| Brook et al.; An Image Analysis System for the Determination of Tooth Dimensions from Study Casts: Comparison with Manual Measurements of Mesio-distal Diameter; Journal of Dental Research; 65(3); pp. 428-431; Mar. 1986. |
| Burstone et al.; Precision Adjustment of the Transpalatal Lingual Arch: Computer Arch Form Predetermination; American Journal of Orthodontics; 79(2);pp. 115-133; Feb. 1981. |
| Burstone; Dr. Charles J. Burstone on the Uses of the Computer in Orthodontic Practice (Part 1); Journal of Clinical Orthodontics; 13(7); pp. 442-453; (interview); Jul. 1979. |
| Burstone; Dr. Charles J. Burstone on the Uses of the Computer in Orthodontic Practice (Part 2); journal of Clinical Orthodontics; 13(8); pp. 539-551 (interview); Aug. 1979. |
| Cardinal Industrial Finishes; Powder Coatings; 6 pages; retrieved from the internet (http://www.cardinalpaint.com) on Aug. 25, 2000. |
| Carnaghan, An Alternative to Holograms for the Portrayal of Human Teeth; 4th Int'l. Conf. on Holographic Systems, Components and Applications; pp. 228-231; Sep. 15, 1993. |
| Chaconas et al,; The DigiGraph Work Station, Part 1, Basic Concepts; Journal of Clinical Orthodontics; 24(6); pp. 360-367; (Author Manuscript); Jun. 1990. |
| Chafetz et al.; Subsidence of the Femoral Prosthesis, A Stereophotogrammetric Evaluation; Clinical Orthopaedics and Related Research; No. 201; pp. 60-67; Dec. 1985. |
| Chiappone; Constructing the Gnathologic Setup and Positioner; Journal of Clinical Orthodontics; 14(2); pp. 121-133; Feb. 1980. |
| Chishti et al.; U.S. Appl. No. 60/050,342 entitled “Procedure for moving teeth using a seires of retainers,” filed Jun. 20, 1997. |
| CSI Computerized Scanning and Imaging Facility; What is a maximum/minimum intensity projection (MIP/MinIP); 1 page; retrived from the internet (http://csi.whoi.edu/content/what-maximumminimum-intensity-projection-mipminip); Jan. 4, 2010. |
| Cottingham; Gnathologic Clear Plastic Positioner; American Journal of Orthodontics; 55(1); pp. 23-31; Jan. 1969. |
| Crawford; CAD/CAM in the Dental Office: Does It Work?; Canadian Dental Journal; 57(2); pp. 121-123 Feb. 1991. |
| Crawford; Computers in Dentistry: Part 1: CAD/CAM: The Computer Moves Chairside, Part 2: F. Duret ` A Man With a Vision, Part 3: The Computer Gives New Vision—Literally, Part 4: Bytes 'N Bites the Computer Moves From the Front Desk to the Operatory; Canadian Dental Journal; 54(9); pp. 661-666 Sep. 1988. |
| Crooks; CAD/CAM Comes to USC; USC Dentistry; pp. 14-17; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) Spring 1990. |
| Cureton; Correcting Malaligned Mandibular Incisors with Removable Retainers; Journal of Clinical Orthodontics; 30(7); pp. 390-395; Jul. 1996. |
| Curry et al.; Integrated Three-Dimensional Craniofacial Mapping at the Craniofacial Research InstrumentationLaboratory/University of the Pacific; Seminars in Orthodontics; 7(4); pp. 258-265; Dec. 2001. |
| Cutting et al.; Three-Dimensional Computer-Assisted Design of Craniofacial Surgical Procedures: Optimization and Interaction with Cephalometric and CT-Based Models; Plastic and Reconstructive Surgery; 77(6); pp. 877-885; Jun. 1986. |
| DCS Dental AG; The CAD/CAM ‘DCS Titan System’ for Production of Crowns/Bridges; DSC Production; pp. 1-7; Jan. 1992. |
| Defranco et al.; Three-Dimensional Large Displacement Analysis of Orthodontic Appliances; Journal of Biomechanics; 9(12); pp. 793-801; Jan. 1976. |
| Dental Institute University of Zurich Switzerland; Program for International Symposium on Computer Restorations: State of the Art of the CEREC-Method; 2 pages; May 1991. |
| Dentrac Corporation; Dentrac document; pp. 4-13; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1992. |
| Dent-x; Dentsim . . . Dent-x's virtual reality 3-D training simulator . . . A revolution in dental education; 6 pages; retrieved from the internet (http://www.dent-x.com/DentSim.htm); on Sep. 24, 1998. |
| Di Muzio et al.; Minimum intensity projection (MinIP); 6 pages; retrieved from the internet (https://radiopaedia.org/articles/minimum-intensity-projection-minip) on Sep. 6, 2018. |
| Doruk et al.; The role of the headgear timer in extraoral co-operation; European Journal of Orthodontics; 26; pp. 289-291; Jun. 1, 2004. |
| Doyle; Digital Dentistry; Computer Graphics World; pp. 50-52 andp. 54; Oct. 2000. |
| Dummer et al.; Computed Radiography Imaging Based on High-Density 670 nm VCSEL Arrays; International Society for Optics and Photonics; vol. 7557; p. 75570H; 7 pages; (Author Manuscript); Feb. 24, 2010. |
| Duret et al.; CAD/CAM Imaging in Dentistry; Current Opinion in Dentistry; 1(2); pp. 150-154; Apr. 1991. |
| Duret et al; CAD-CAM in Dentistry; Journal of the American Dental Association; 117(6); pp. 715-720; Nov. 1988. |
| Duret; The Dental CAD/CAM, General Description of the Project; Hennson International Product Brochure, 18 pages; Jan. 1986. |
| Duret; Vers Une Prosthese Informatisee; Tonus; 75(15); pp. 55-57; (English translation attached); 23 pages; Nov. 15, 1985. |
| Economides; The Microcomputer in the Orthodontic Office; Journal of Clinical Orthodontics; 13(11); pp. 767-772; Nov. 1979. |
| Ellias et al.; Proteomic analysis of saliva identifies potential biomarkers for orthodontic tooth movement; The Scientific World Journal; vol. 2012; Article ID 647240; dio:10.1100/2012/647240; 7 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2012. |
| Elsasser; Some Observations on the History and Uses of the Kesling Positioner; American Journal of Orthodontics; 36(5); pp. 368-374; May 1, 1950. |
| English translation of Japanese Laid-Open Publication No. 63-11148 to inventor T. Ozukuri (Laid-Open on Jan. 18, 1998) pp. 1-7. |
| Faber et al.; Computerized Interactive Orthodontic Treatment Planning; American Journal of Orthodontics; 73(1); pp. 36-46; Jan. 1978. |
| Felton et al.; A Computerized Analysis of the Shape and Stability of Mandibular Arch Form; American Journal of Orthodontics and Dentofacial Orthopedics; 92(6); pp. 478-483; Dec. 1987. |
| Florez-Moreno; Time-related changes in salivary levels of the osteotropic factors sRANKL and OPG through orthodontic tooth movement; American Journal of Orthodontics and Dentofacial Orthopedics; 143(1); pp. 92-100; Jan. 2013. |
| Friede et al.; Accuracy of Cephalometric Prediction in Orthognathic Surgery; Journal of Oral and Maxillofacial Surgery; 45(9); pp. 754-760; Sep. 1987. |
| Friedrich et al; Measuring system for in vivo recording of force systems in orthodontic treatment-concept and analysis of accuracy; J. Biomech.; 32(1); pp. 81-85; (Abstract Only) Jan. 1999. |
| Futterling et al.; Automated Finite Element Modeling of a Human Mandible with Dental Implants; JS WSCG '98—Conference Program; 8 pages; retrieved from the Internet (https://dspace5.zcu.cz/bitstream/11025/15851/1/Strasser_98.pdf); on Aug. 21, 2018. |
| Gao et al.; 3-D element Generation for Multi-Connected Complex Dental and Mandibular Structure; IEEE Proceedings International Workshop in Medical Imaging and Augmented Reality; pp. 267-271; Jun. 12, 2001. |
| Gim-Alldent Deutschland, “Das DUX System: Die Technik,” 3 pages; (English Translation Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2002. |
| Gottleib et al.; JCO Interviews Dr. James A. McNamura, Jr., on the Frankel Appliance: Part 2: Clinical 1-1 Management; Journal of Clinical Orthodontics; 16(6); pp. 390-407; retrieved from the internet (http://www.jco-online.com/archive/print_article.asp?Year=1982&Month=06&ArticleNum+); 21 pages; Jun. 1982. |
| Grayson; New Methods for Three Dimensional Analysis of Craniofacial Deformity, Symposium: Computerized Facial Imaging in Oral and Maxillofacial Surgery; American Association of Oral and Maxillofacial Surgeons; 48(8) suppl 1; pp. 5-6; Sep. 13, 1990. |
| Grest, Daniel; Marker-Free Human Motion Capture in Dynamic Cluttered Environments from a Single View-Point, PhD Thesis; 171 pages; Dec. 2007. |
| Guess et al.; Computer Treatment Estimates in Orthodontics and Orthognathic Surgery; Journal of Clinical Orthodontics; 23(4); pp. 262-268; 11 pages; (Author Manuscript); Apr. 1989. |
| Heaven et al.; Computer-Based Image Analysis of Artificial Root Surface Caries; Abstracts of Papers #2094; Journal of Dental Research; 70:528; (Abstract Only); Apr. 17-21, 1991. |
| Highbeam Research; Simulating stress put on jaw. (Ansys Inc.'s finite element analysis software); 2 pages; retrieved from the Internet (http://static.highbeam.eom/t/toolingampproduction/november011996/simulatingstressputonfa..); on Nov. 5, 2004. |
| Hikage; Integrated Orthodontic Management System for Virtual Three-Dimensional Computer Graphic Simulation and Optical Video Image Database for Diagnosis and Treatment Planning; Journal of Japan KA Orthodontic Society; 46(2); pp. 248-269; 56 pages; (English Translation Included); Feb. 1987. |
| Hoffmann et al.; Role of Cephalometry for Planning of Jaw Orthopedics and Jaw Surgery Procedures; Informatbnen, pp. 375-396; (English Abstract Included); Mar. 1991. |
| Hojjatie et al.; Three-Dimensional Finite Element Analysis of Glass-Ceramic Dental Crowns; Journal of Biomechanics; 23(11); pp. 1157-1166; Jan. 1990. |
| Huckins; CAD-CAM Generated Mandibular Model Prototype from MRI Data; AAOMS, p. 96; (Abstract Only); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1999. |
| Invisalign; You were made to move. There's never been a better time to straighten your teeth with the most advanced clear aligner in the world; Product webpage; 2 pages; retrieved from the internet (www.invisalign.com/) on Dec. 28, 2017. |
| JCO Interviews; Craig Andreiko , DDS, MS on the Elan and Orthos Systems; Interview by Dr. Larry W. White; Journal of Clinical Orthodontics; 28(8); pp. 459-468; 14 pages; (Author Manuscript); Aug. 1994. |
| JCO Interviews; Dr. Homer W. Phillips on Computers in Orthodontic Practice, Part 2; Journal of Clinical Orthodontics; 17(12); pp. 819-831; 19 pages; (Author Manuscript); Dec. 1983. |
| Jerrold; The Problem, Electronic Data Transmission and the Law; American Journal of Orthodontics and Dentofacial Orthopedics; 113(4); pp. 478-479; 5 pages; (Author Manuscript); Apr. 1998. |
| Jones et al.; An Assessment of the Fit of a Parabolic Curve to Pre- and Post-Treatment Dental Arches; British Journal of Orthodontics; 16(2); pp. 85-93; May 1989. |
| Kamada et.al.; Case Reports on Tooth Positioners Using LTV Vinyl Silicone Rubber; J. Nihon University School of Dentistry; 26(1); pp. 11-29; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1984. |
| Kamada et.al.; Construction of Tooth Positioners with LTV Vinyl Silicone Rubber and Some Case KJ Reports; J. Nihon University School of Dentistry; 24(1); pp. 1-27; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1982. |
| Kanazawa et al.; Three-Dimensional Measurements of the Occlusal Surfaces of Upper Molars in a Dutch Population; Journal of Dental Research; 63(11); pp. 1298-1301; Nov. 1984. |
| Kesling et al.; The Philosophy of the Tooth Positioning Appliance; American Journal of Orthodontics and Oral surgery; 31(6); pp. 297-304; Jun. 1945. |
| Kesling; Coordinating the Predetermined Pattern and Tooth Positioner with Conventional Treatment; American Journal of Orthodontics and Oral Surgery; 32(5); pp. 285-293; May 1946. |
| Kleeman et al.; The Speed Positioner; J. Clin. Orthod.; 30(12); pp. 673-680; Dec. 1996. |
| Kochanek; Interpolating Splines with Local Tension, Continuity and Bias Control; Computer Graphics; 18(3); pp. 33-41; Jan. 1, 1984. |
| Kumar et al.; Rapid maxillary expansion: A unique treatment modality in dentistry; J. Clin. Diagn. Res.; 5(4); pp. 906-911; Aug. 2011. |
| Kunii et al.; Articulation Simulation for an Intelligent Dental Care System; Displays; 15(3); pp. 181-188; Jul. 1994. |
| Kuroda et al.; Three-Dimensional Dental Cast Analyzing System Using Laser Scanning; American Journal of Orthodontics and Dentofacial Orthopedics; 110(4); pp. 365-369; Oct. 1996. |
| Laurendeau et al.; A Computer-Vision Technique for the Acquisition and Processing of 3-D Profiles of 7 Dental Imprints: An Application in Orthodontics; IEEE Transactions on Medical Imaging; 10(3); pp. 453-461; Sep. 1991. |
| Leinfelder et al.; A New Method for Generating Ceramic Restorations: a CAD-CAM System; Journal of the American Dental Association; 118(6); pp. 703-707; Jun. 1989. |
| Manetti et al.; Computer-Aided Cefalometry and New Mechanics in Orthodontics; Fortschr Kieferorthop; 44; pp. 370-376; 8 pages; (English Article Summary Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1983. |
| Mccann; Inside the ADA; J. Amer. Dent. Assoc, 118:286-294; Mar. 1989. |
| Mcnamara et al.; Invisible Retainers; J. Clin Orthod.; pp. 570-578; 11 pages; (Author Manuscript); Aug. 1985. |
| Mcnamara et al.; Orthodontic and Orthopedic Treatment in the Mixed Dentition; Needham Press; pp. 347-353; Jan. 1993. |
| Moermann et al, Computer Machined Adhesive Porcelain Inlays: Margin Adaptation after Fatigue Stress; IADR Abstract 339; J. Dent. Res.; 66(a):763; (Abstract Only); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1987. |
| Moles; Correcting Mild Malalignments—As Easy as One, Two, Three; AOA/Pro Corner; 11(2); 2 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2002. |
| Mormann et al.; Marginale Adaptation von adhasuven Porzellaninlays in vitro; Separatdruck aus:Schweiz. Mschr. Zahnmed.; 95; pp. 1118-1129; 8 pages; (Machine Translated English Abstract); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1985. |
| Nahoum; The Vacuum Formed Dental Contour Appliance; N. Y. State Dent. J.; 30(9); pp. 385-390; Nov. 1964. |
| Nash; Cerec CAD/CAM Inlays: Aesthetics and Durability in a Single Appointment; Dentistry Today; 9(8); pp. 20, 22-23 and 54; Oct. 1990. |
| Nedelcu et al.; “Scanning Accuracy and Precision in 4 Intraoral Scanners: An In Vitro Comparison Based on 3-Dimensional Analysis”; J. Prosthet. Dent.; 112(6); pp. 1461-1471; Dec. 2014. |
| Nishiyama et al.; A New Construction of Tooth Repositioner by LTV Vinyl Silicone Rubber; The Journal of Nihon University School of Dentistry; 19(2); pp. 93-102 (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1977. |
| Ogawa et al.; Mapping, profiling and clustering of pressure pain threshold (PPT) in edentulous oral muscosa; Journal of Dentistry; 32(3); pp. 219-228; Mar. 2004. |
| Ogimoto et al.; Pressure-pain threshold determination in the oral mucosa; Journal of Oral Rehabilitation; 29(7); pp. 620-626; Jul. 2002. |
| Paul et al.; Digital Documentation of Individual Human Jaw and Tooth Forms for Applications in Orthodontics; Oral Surgery and Forensic Medicine Proc. of the 24th Annual Conf. of the IEEE Industrial Electronics Society (IECON '98); vol. 4; pp. 2415-2418; Sep. 4, 1998. |
| Pinkham; Foolish Concept Propels Technology; Dentist, 3 pages , Jan./Feb. 1989. |
| Pinkham; Inventor's CAD/CAM May Transform Dentistry; Dentist; pp. 1 and 35, Sep. 1990. |
| Ponitz; Invisible retainers; Am. J. Orthod.; 59(3); pp. 266-272; Mar. 1971. |
| Procera Research Projects; Procera Research Projects 1993 ` Abstract Collection; 23 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1993. |
| Proffit et al.; The first stage of comprehensive treatment alignment and leveling; Contemporary Orthodontics, 3rd Ed.; Chapter 16; Mosby Inc.; pp. 534-537; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2000. |
| Proffit et al.; The first stage of comprehensive treatment: alignment and leveling; Contemporary Orthodontics; (Second Ed.); Chapter 15, MosbyYear Book; St. Louis, Missouri; pp. 470-533 Oct. 1993. |
| Raintree Essix & ARS Materials, Inc., Raintree Essix, Technical Magazine Table of contents and Essix Appliances, 7 pages; retrieved from the internet (http://www.essix.com/magazine/defaulthtml) on Aug. 13, 1997. |
| Redmond et al.; Clinical Implications of Digital Orthodontics; American Journal of Orthodontics and Dentofacial Orthopedics; 117(2); pp. 240-242; Feb. 2000. |
| Rekow et al.; CAD/CAM for Dental Restorations—Some of the Curious Challenges; IEEE Transactions on Biomedical Engineering; 38(4); pp. 314-318; Apr. 1991. |
| Rekow et al.; Comparison of Three Data Acquisition Techniques for 3-D Tooth Surface Mapping; Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 13(1); pp. 344-345 (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1991. |
| Rekow; A Review of the Developments in Dental CAD/CAM Systems; Current Opinion in Dentistry; 2; pp. 25-33; Jun. 1992. |
| Rekow; CAD/CAM in Dentistry: A Historical Perspective and View of the Future; Journal Canadian Dental Association; 58(4); pp. 283, 287-288; Apr. 1992. |
| Rekow; Computer-Aided Design and Manufacturing in Dentistry: A Review of the State of the Art; Journal of Prosthetic Dentistry; 58(4); pp. 512-516; Dec. 1987. |
| Rekow; Dental CAD-CAM Systems: What is the State of the Art?; The Journal of the American Dental Association; 122(12); pp. 43-48; Dec. 1991. |
| Rekow; Feasibility of an Automated System for Production of Dental Restorations, Ph.D. Thesis; Univ. of Minnesota, 250 pages, Nov. 1988. |
| Richmond et al.; The Development of the PAR Index (Peer Assessment Rating): Reliability and Validity.; The European Journal of Orthodontics; 14(2); pp. 125-139; Apr. 1992. |
| Richmond et al.; The Development of a 3D Cast Analysis System; British Journal of Orthodontics; 13(1); pp. 53-54; Jan. 1986. |
| Richmond; Recording the Dental Cast in Three Dimensions; American Journal of Orthodontics and Dentofacial Orthopedics; 92(3); pp. 199-206; Sep. 1987. |
| Rudge; Dental Arch Analysis: Arch Form, A Review of the Literature; The European Journal of Orthodontics; 3(4); pp. 279-284; Jan. 1981. |
| Sahm et al.; “Micro-Electronic Monitoring of Functional Appliance Wear”; Eur J Orthod.; 12(3); pp. 297-301; Aug. 1990. |
| Sahm; Presentation of a wear timer for the clarification of scientific questions in orthodontic orthopedics; Fortschritte der Kieferorthopadie; 51 (4); pp. 243-247; (Translation Included) Jul. 1990. |
| Sakuda et al.; Integrated Information-Processing System in Clinical Orthodontics: An Approach with Use of a Computer Network System; American Journal of Orthodontics and Dentofacial Orthopedics; 101(3); pp. 210-220; 20 pages; (Author Manuscript) Mar. 1992. |
| Schafer et al.; “Quantifying patient adherence during active orthodontic treatment with removable appliances using microelectronic wear-time documentation”; Eur J Orthod.; 37(1)pp. 1-8; doi:10.1093/ejo/cju012; Jul. 3, 2014. |
| Schellhas et al.; Three-Dimensional Computed Tomography in Maxillofacial Surgical Planning; Archives of Otolaryngology—Head and Neck Surgery; 114(4); pp. 438-442; Apr. 1988. |
| Schroeder et al; Eds. The Visual Toolkit, Prentice Hall PTR, New Jersey; Chapters 6, 8 & 9, (pp. 153-210,309-354, and 355-428; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1998. |
| Shilliday; Minimizing finishing problems with the mini-positioner; American Journal of Orthodontics; 59(6); pp. 596-599; Jun. 1971. |
| Shimada et al.; Application of optical coherence tomography (OCT) for diagnosis of caries, cracks, and defects of restorations; Current Oral Health Reports; 2(2); pp. 73-80; Jun. 2015. |
| Siemens; Cerec—Computer-Reconstruction, High Tech in der Zahnmedizin; 15 pagesl; (Includes Machine Translation); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2004. |
| Sinclair; The Readers' Corner; Journal of Clinical Orthodontics; 26(6); pp. 369-372; 5 pages; retrived from the internet (http://www.jco-online.com/archive/print_article.asp?Year=1992&Month=06&ArticleNum=); Jun. 1992. |
| Sirona Dental Systems GmbH, Cerec 3D, Manuel utiiisateur, Version 2.0X (in French); 114 pages; (English translation of table of contents included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2003. |
| Stoll et al.; Computer-aided Technologies in Dentistry; Dtsch Zahna'rztl Z 45, pp. 314-322; (English Abstract Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1990. |
| Sturman; Interactive Keyframe Animation of 3-D Articulated Models; Proceedings Graphics Interface '84; vol. 86; pp. 35-40; May-Jun. 1984. |
| The American Heritage, Stedman's Medical Dictionary; Gingiva; 3 pages; retrieved from the interent (http://reference.com/search/search?q=gingiva) on Nov. 5, 2004. |
| The Dental Company Sirona: Cerc omnicam and cerec bluecam brochure: The first choice in every case; 8 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2014. |
| Thera Mon; “Microsensor”; 2 pages; retrieved from the internet (www.english.thera-mon.com/the-product/transponder/index.html); on Sep. 19, 2016. |
| Thorlabs; Pellin broca prisms; 1 page; retrieved from the internet (www.thorlabs.com); Nov. 30, 2012. |
| Tiziani et al.; Confocal principle for macro and microscopic surface and defect analysis; Optical Engineering; 39(1); pp. 32-39; Jan. 1, 2000. |
| Truax; Truax Clasp-Less(TM) Appliance System; The Functional Orthodontist; 9(5); pp. 22-24, 26-8; Sep.-Oct. 1992. |
| Tru-Tatn Orthodontic & Dental Supplies, Product Brochure, Rochester, Minnesota 55902, 16 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1996. |
| U.S. Department of Commerce, National Technical Information Service, Holodontography: An Introduction to Dental Laser Holography; School of Aerospace Medicine Brooks AFB Tex; Mar. 1973, 40 pages; Mar. 1973. |
| U.S. Department of Commerce, National Technical Information Service; Automated Crown Replication Using Solid Photography SM; Solid Photography Inc., Melville NY,; 20 pages; Oct. 1977. |
| Vadapalli; Minimum intensity projection (MinIP) is a data visualization; 7 pages; retrieved from the internet (https://prezi.com/tdmttnmv2knw/minimum-intensity-projection-minip-is-a-data-visualization/) on Sep. 6, 2018. |
| Van Der Linden et al.; Three-Dimensional Analysis of Dental Casts by Means of the Optocom; Journal of Dental Research; 51(4); p. 1100; Jul.-Aug. 1972. |
| Van Der Linden; A New Method to Determine Tooth Positions and Dental Arch Dimensions; Journal of Dental Research; 51(4); p. 1104; Jul.-Aug. 1972. |
| Van Der Zel; Ceramic-Fused-to-Metal Restorations with a New CAD/CAM System; Quintessence International; 24(A); pp. 769-778; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1993. |
| Van Hilsen et al.; Comparing potential early caries assessment methods for teledentistry; BMC Oral Health; 13(16); doi: 10.1186/1472-6831-13-16; 9 pages; Mar. 2013. |
| Varady et al.; Reverse Engineering of Geometric Models` An Introduction; Computer-Aided Design; 29(4); pp. 255-268; 20 pages; (Author Manuscript); Apr. 1997. |
| Verstreken et al.; An Image-Guided Planning System for Endosseous Oral Implants; IEEE Transactions on Medical Imaging; 17(5); pp. 842-852; Oct. 1998. |
| Warunek et al.; Physical and Mechanical Properties of Elastomers in Orthodonic Positioners; American Journal of Orthodontics and Dentofacial Orthopedics; 95(5); pp. 388-400; 21 pages; (Author Manuscript); May 1989. |
| Warunek et.al.; Clinical Use of Silicone Elastomer Applicances; JCO; 23(10); pp. 694-700; Oct. 1989. |
| Watson et al.; Pressures recorded at te denture base-mucosal surface interface in complete denture wearers; Journal of Oral Rehabilitation 14(6); pp. 575-589; Nov. 1987. |
| Wells; Application of the Positioner Appliance in Orthodontic Treatment; American Journal of Orthodontics; 58(4); pp. 351-366; Oct. 1970. |
| Wikipedia; Palatal expansion; 3 pages; retrieved from the internet (https://en.wikipedia.org/wiki/Palatal_expansion) on Mar. 5, 2018. |
| Williams; Dentistry and CAD/CAM: Another French Revolution; J. Dent. Practice Admin.; 4(1); pp. 2-5 Jan./Mar. 1987. |
| Williams; The Switzerland and Minnesota Developments in CAD/CAM; Journal of Dental Practice Administration; 4(2); pp. 50-55; Apr./Jun. 1987. |
| Wireless Sensor Networks Magazine; Embedded Teeth for Oral Activity Recognition; 2 pages; retrieved on Sep. 19, 2016 from the internet (www.wsnmagazine.com/embedded-teeth/); Jul. 29, 2013. |
| Wishan; New Advances in Personal Computer Applications for Cephalometric Analysis, Growth Prediction, Surgical Treatment Planning and Imaging Processing; Symposium: Computerized Facial Imaging in Oral and Maxilofacial Surgery; p. 5; Presented on Sep. 13, 1990. |
| Witt et al.; The wear-timing measuring device in orthodontics-cui bono? Reflections on the state-of-the-art in wear-timing measurement and compliance research in orthodontics; Fortschr Kieferorthop.; 52(3); pp. 117-125; (Translation Included) Jun. 1991. |
| Wolf; Three-dimensional structure determination of semi-transparent objects from holographic data; Optics Communications; 1(4); pp. 153-156; Sep. 1969. |
| WSCG'98—Conference Program, The Sixth International Conference in Central Europe on Computer Graphics and Visualization '98; pp. 1-7; retrieved from the Internet on Nov. 5, 2004, (http://wscg.zcu.cz/wscg98/wscg98.htm); Feb. 9-13, 1998. |
| Xia et al.; Three-Dimensional Virtual-Reality Surgical Planning and Soft-Tissue Prediction for Orthognathic Surgery; IEEE Transactions on Information Technology in Biomedicine; 5(2); pp. 97-107; Jun. 2001. |
| Yamada et al.; Simulation of fan-beam type optical computed-tomography imaging of strongly scattering and weakly absorbing media; Applied Optics; 32(25); pp. 4808-4814; Sep. 1, 1993. |
| Yamamoto et al.; Optical Measurement of Dental Cast Profile and Application to Analysis of Three-Dimensional Tooth Movement in Orthodontics; Front. Med. Biol. Eng., 1(2); pp. 119-130; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1988. |
| Yamamoto et al.; Three-Dimensional Measurement of Dental Cast Profiles and Its Applications to Orthodontics; Conf. Proc. IEEE Eng. Med. Biol. Soc.; 12(5); pp. 2052-2053; Nov. 1990. |
| Yamany et al.; A System for Human Jaw Modeling Using Intra-Oral Images; Proc. of the 20th Annual Conf. of the IEEE Engineering in Medicine and Biology Society; vol. 2; pp. 563-566; Oct. 1998. |
| Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); 111. The General Concept of the D.P. Method and Its Therapeutic Effect, Part 1, Dental and Functional Reversed Occlusion Case Reports; Nippon Dental Review; 457; pp. 146-164; 43 pages; (Author Manuscript); Nov. 1980. |
| Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); I. The D.P. Concept and Implementation of Transparent Silicone Resin (Orthocon); Nippon Dental Review; 452; pp. 61-74; 32 pages; (Author Manuscript); Jun. 1980. |
| Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); II. The D.P. Manufacturing Procedure and Clinical Applications; Nippon Dental Review; 454; pp. 107-130; 48 pages; (Author Manuscript); Aug. 1980. |
| Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); III—The General Concept of the D.P. Method and Its Therapeutic Effect, Part 2. Skeletal Reversed Occlusion Case Reports; Nippon Dental Review; 458; pp. 112-129; 40 pages; (Author Manuscript); Dec. 1980. |
| Grove et al.; U.S. Appl. No. 15/726,243 entitled “Interproximal reduction templates,” filed Oct. 5, 2017**. |
| Riley et al.; U.S. Appl. No. 16/003,841 entitled Palatal expander with skeletal anchorage devices, filed Jun. 8, 2018**. |
| Shanjani et al.; U.S. Appl. No. 16/019,037 entitled “Biosensor performance indicator for intraoral appliances,” filed Jun. 26, 2018**. |
| Sato et al.; U.S. Appl. No. 16/041,606 entitled “Palatal contour anchorage,” filed Jul. 20, 2018**. |
| Xue et al.; U.S. Appl. No. 16/010,087 entitled “Automatic detection of tooth type and eruption status,” filed Jun. 15, 2018**. |
| Sato et al.; U.S. Appl. No. 16/048,054 entitled “Optical coherence tomography for orthodontic aligners,” filed Jul. 27, 2018**. |
| Miller et al.; U.S. Appl. No. 16/038,088 entitled “Method and apparatuses for interactive ordering of dental aligners,” filed Jul. 17, 2018**. |
| Moalem et al.; U.S. Appl. No. 16/046,897 entitled Tooth shading, transparency and glazing, filed Jul. 26, 2018**. |
| Nyukhtikov et al.; U.S. Appl. No. 15/998,883 entitled “Buccal corridor assessment and computation,” filed Aug. 15, 2018**. |
| Arakawa et al; Mouthguard biosensor with telemetry system for monitoring of saliva glucose: A novel cavitas sensor; Biosensors and Bioelectronics; 84; pp. 106-111; Oct. 2016. |
| O'Leary et al.; U.S. Appl. No. 16/195,701 entitled “Orthodontic retainers,” filed Nov. 19, 2018. |
| Shanjani et al., U.S. Appl. No. 16/206,894 entitled “Sensors for monitoring oral appliances,” filed Nov. 28, 2019. |
| Shanjani et al., U.S. Appl. No. 16/231,906 entitled “Augmented reality enhancements for dental practitioners.” Dec. 24, 2018. |
| Kopleman et al., U.S. Appl. No. 16/220,381 entitled “Closed loop adaptive orthodontic treatment methods and apparatuses,” Dec. 14, 2018. |
| Bernabe et al.; Are the lower incisors the best predictors for the unerupted canine and premolars sums? An analysis of peruvian sample; The Angle Orthodontist; 75(2); pp. 202-207; Mar. 2005. |
| Collins English Dictionary; Teeth (definition); 9 pages; retrieved from the internet (https:www.collinsdictionary.com/us/dictionary/english/teeth) on May 13, 2019. |
| Dental Monitoring; Basics: How to put the cheek retractor?; 1 page (Screenshot); retrieved from the interenet (https://www.youtube.com/watch?v=6K1HXw4Kq3c); May 27, 2016. |
| Dental Monitoring; Dental monitoring tutorial; 1 page (Screenshot); retrieved from the internet (https:www.youtube.com/watch?v=Dbe3udOf9_c); Mar. 18, 2015. |
| dictionary.com; Plural (definition); 6 pages; retrieved from the internet ( https://www.dictionary.com/browse/plural#) on May 13, 2019. |
| dictionary.com; Quadrant (definition); 6 pages; retrieved from the internet ( https://www.dictionary.com/browse/quadrant?s=t) on May 13, 2019. |
| Ecligner Selfie; Change your smile; 1 page (screenshot); retrieved from the internet (https:play.google.com/store/apps/details?id=parklict.ecligner); on Feb. 13, 2018. |
| Martinelli et al.; Prediction of lower permanent canine and premolars width by correlation methods; The Angle Orthodontist; 75(5); pp. 805-808; Sep. 2005. |
| Nourallah et al.; New regression equations for prediciting the size of unerupted canines and premolars in a contemporary population; The Angle Orthodontist; 72(3); pp. 216-221; Jun. 2002. |
| Paredes et al.; A new, accurate and fast digital method to predict unerupted tooth size; The Angle Orthodontist; 76(1); pp. 14-19; Jan. 2006. |
| Sobral De Agular et al.; The gingival crevicular fluid as a source of biomarkers to enhance efficiency of orthodontic and functional treatment of growing patients; Bio. Med. Research International; vol. 2017; pp. 1-7; Article ID 3257235; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2017. |
| Levin; U.S. Appl. No. 16/282,431 entitled “Estimating a surface texture of a tooth,” filed Feb. 2, 2019. |
| Chen et al.; U.S. Appl. No. 16/223,019 entitled “Release agent receptacle,” filed Dec. 17, 2018. |
| Bandodkar et al.; All-printed magnetically self-healing electrochemical devices; Science Advances; 2(11); 11 pages; e1601465; Nov. 2016. |
| Bandodkar et al.; Self-healing inks for autonomous repair of printable electrochemical devices; Advanced Electronic Materials; 1(12); 5 pages; 1500289; Dec. 2015. |
| Bandodkar et al.; Wearable biofuel cells: a review; Electroanalysis; 28(6); pp. 1188-1200; Jun. 2016. |
| Bandodkar et al.; Wearable chemical sensors: present challenges and future prospects; Acs Sensors; 1(5); pp. 464-482; May 11, 2016. |
| Imani et al.; A wearable chemical-electrophysiological hybrid biosensing system for real-time health and fitness monitoring; Nature Communications; 7; 11650. doi 1038/ncomms11650; 7 pages; May 23, 2016. |
| Jia et al.; Epidermal biofuel cells: energy harvesting from human perspiration; Angewandle Chemie International Edition; 52(28); pp. 7233-7236; Jul. 8, 2013. |
| Jia et al.; Wearable textile biofuel cells for powering electronics; Journal of Materials Chemistry A; 2(43); pp. 18184-18189; Oct. 14, 2014. |
| Jeerapan et al.; Stretchable biofuel cells as wearable textile-based self-powered sensors; Journal of Materials Chemistry A; 4(47); pp. 18342-18353; Dec. 21, 2016. |
| Kim et al.; Advanced materials for printed wearable electrochemical devices: A review; Advanced Electronic Materials; 3(1); 15 pages; 1600260; Jan. 2017. |
| Kim et al.; Noninvasive alcohol monitoring using a wearable tatto-based iontophoretic-biosensing system; Acs Sensors; 1(8); pp. 1011-1019; Jul. 22, 2016. |
| Kim et al.; Non-invasive mouthguard biosensor for continuous salivary monitoring of metabolites; Analyst; 139(7); pp. 1632-1636; Apr. 7, 2014. |
| Kim et al.; A wearable fingernail chemical sensing platform: pH sensing at your fingertips; Talanta; 150; pp. 622-628; Apr. 2016. |
| Kim et al.; Wearable salivary uric acid mouthguard biosensor with integrated wireless electronics; Biosensors and Bioelectronics; 74; pp. 1061-1068; 19 pages; (Author Manuscript); Dec. 2015. |
| Kumar et al.; All-printed, stretchable Zn—Ag2o rechargeable battery via, hyperelastic binder for self-powering wearable electronics; Advanced Energy Materials; 7(8); 8 pages; 1602096; Apr. 2017. |
| Kumar et al.; Biomarkers in orthodontic tooth movement; Journal of Pharmacy Bioallied Sciences; 7(Suppl 2); pp. S325-S330; 12 pages; (Author Manuscript); Aug. 2015. |
| Parrilla et al.; A textile-based stretchable multi-ion potentiometric sensor; Advanced Healthcare Materials; 5(9); pp. 996-1001; May 2016. |
| Windmiller et al.; Wearable electrochemical sensors and biosensors: a review; Electroanalysis; 25(1); pp. 29-46; Jan. 2013. |
| Zhou et al.; Bio-logic analysis of injury biomarker patterns in human serum samples; Talanta; 83(3); pp. 955-959; Jan. 15, 2011. |
| Zhou et al.; Biofuel cells for self-powered electrochemical biosensing and logic biosensing: A review; Electroanalysis; 24(2); pp. 197-209; Feb. 2012. |
| Elbaz et al.; U.S. Appl. No. 16/188,262 entitled “Intraoral scanner with dental diagnostics capabilities,” filed Nov. 12, 2018. |
| Morton et al.; U.S. Appl. No. 16/177,067 entitled “Dental appliance having selective occlusal loading and controlled intercuspation,” filed Oct. 31, 2018. |
| Akopov et al.; U.S. Appl. No. 16/178,491 entitled “Automatic treatment planning,” filed Nov. 1, 2018. |
| Elbaz et al.; U.S. Appl. No. 16/198,488 entitled “Intraoral scanner with dental diagnostics capabilities,” filed Nov. 21, 2018. |
| D'Apuzzo et al., “Biomarkers of Periodontal Tissue Remodeling During Orthodontic Tooth Movement in Mice and Men: Overview and Clinical Relevance,” The Scientific World Journal, Apr. 23, 2013, pp. 1-8. |
| Merriam-Webster., “Identify.” 2022, pp. 3-6, Retrieved from the Internet: [URL: https://www.merriam-webster.com/dictionary/identify] [retrieved on Apr. 3, 2022]. |
| Farooq et al.; Relationship between tooth dimensions and malocclusion; JPMA: The Journal of the Pakistan Medical Association; 64(6); pp. 670-674; Jun. 2014. |
| Newcombe; DTAM: Dense tracking and mapping in real-time; 8 pages; retrieved from the internet (http://www.doc.ic.ac.uk/?ajd/Publications/newcombe_etal_iccv2011.pdf; on Dec. 2011. |
| ormco.com; Increasing clinical performance with 3D interactive treatment planning and patient-specific appliances; 8 pages; retrieved from the internet (http://www.konsident.com/wp-content/files_mf/1295385693http___ormco.com_index_cmsfilesystemaction_fileOrmcoPDF_whitepapers.pdf) on Feb. 27, 2019. |
| Video of DICOM to Surgical Guides; Can be viewed at <URL:https://youtu.be/47KtOmCEFQk; Published Apr. 4, 2016. |
| Sabina et al., U.S. Appl. No. 16/258,516 entitled “Diagnostic intraoral scanning” filed Jan. 25, 2019. |
| Sabina et al., U.S. Appl. No. 16/258,523 entitled “Diagnostic intraoral tracking” filed Jan. 25, 2019. |
| Sabina et al., U.S. Appl. No. 16/258,527 entitled “Diagnostic intraoral methods and apparatuses” filed Jan. 25, 2019. |
| Li et al.; U.S. Appl. No. 16/171,159 entitled “Alternative bite adjustment structures,” filed Oct. 25, 2018. |
| Culp; U.S. Appl. No. 16/236,220 entitled “Laser cutting,” filed Dec. 28, 2018. |
| Culp; U.S. Appl. No. 16/265,287 entitled “Laser cutting,” filed Feb. 1, 2019. |
| Number | Date | Country | |
|---|---|---|---|
| 20190099129 A1 | Apr 2019 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62568212 | Oct 2017 | US |
