Apparatus and methods for modifying keratinous surfaces

Information

  • Patent Grant
  • 11116302
  • Patent Number
    11,116,302
  • Date Filed
    Friday, September 18, 2015
    9 years ago
  • Date Issued
    Tuesday, September 14, 2021
    3 years ago
Abstract
A device for analyzing and treating tonal imperfections on human skin. The device, or apparatus has an applicator comprising a head and one or more nozzles, preferably the nozzles are arranged in an array. The apparatus further has a reservoir comprising a skin treatment composition, a sensor, and a CPU. The sensor takes an image of at least 10 μm2 of skin. The CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels. The CPU then compares the local L value to a background L value to identify one or more skin deviations, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located. Further, the sensor may be enclosed within an apparatus handle and the CPU is either within the handle or external to the handle. In another embodiment of this invention, there are two or more CPUs and the sensor can be in wireless communication with none, one or more than one CPU.
Description
FIELD OF THE INVENTION

This invention relates to an apparatus and methods for applying compositions to skin, and other keratinous surfaces. The compositions can modify color or structure of the keratinous surface. The apparatus has wireless communication capabilities within itself or with other apparatuses, such as a personal computer, a cell phone a tablet computing device and the like.


BACKGROUND OF THE INVENTION

Tonal variations on human skin have multiple causes. Acne, freckles, sun damage, and age spots are just a few of the common causes of visible defects on skin. Textural variations such as fine lines, wrinkles and scars are also well known. Both tonal and textural deviations are noticeable and are highly noticeable to the human eye, even when they are quite small. Covering large areas of skin on and around deviations with makeup or other concealers is known.


Moreover, attempts have been made at more precise, and localized application of compositions that hide, or cover-up skin deviations. Handheld devices that are moved across the skin have been developed to apply skin treatment compositions to local defects. But these devices have been plagued by the absence of two necessary components, speed and accuracy. For these handheld devices to work effectively, they must find the defects quickly, and treat them immediately. Finding a spot on the skin is of little use if the user has moved the applicator head to a different area of the skin before the spot can be effectively treated.


Further, known beauty care devices lack certain technical features that are available on common consumer devices like cell phones, computers and tablet devices. Communication between a cell phone and other computing devices, such as a tablet, are common and can be done wirelessly. This wireless communication capability allows for many advantages, such as data storage, data retrieval, the transfer and use of applications or “apps”, and the use of one device for consumer input and feedback intended for the other device. Thus, communication between multiple devices, without cumbersome cords, is a highly desirable goal that provides many advantages to the end consumer.


Therefore, there exists a need for methods and apparatuses that can quickly and precisely detect tonal and textural defects on skin. Then with equal speed and precision, apply treatment compositions directly to the deviations. And it is desired to have an apparatus that can communicate wirelessly with a multitude of other electronic devices. These methods and apparatuses are defined by the present invention.


SUMMARY OF THE INVENTION

The present invention relates to a device for analyzing and treating tonal imperfections on human skin. The device or apparatus has an applicator comprising a head and one or more nozzles, preferably the nozzles are arranged in an array. The apparatus further has a reservoir comprising a skin treatment composition, a sensor, and a CPU. The sensor takes an image of at least 10 μm2 of skin. The CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels. The CPU then compares the local L value to a background L value to identify one or more skin deviations, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located. Further, the sensor may be enclosed within an apparatus handle and the CPU is either within the handle or external to the handle.


In another embodiment of this invention, there are two or more CPUs and the sensor can be in wireless communication with none, one or more than one CPU. For example, the sensor can be hard wired to a CPU the apparatus handle and the CPU in the handle communicates wirelessly with one or more external CPUs. Commercially available computers, tablets and cell phones have both wired, and wireless communication capabilities today. They can use them individually or simultaneously. It is envisioned that the individual components of the present devices (and hence, the devices themselves) will have wireless communication capabilities alone or in conjunction with wired communication.


The present invention solves many problems with prior devices and methods. Specifically, tonal variations on skin are more accurately and quickly detected. The speed with which a skin deviation is found and identified is critical because the applicator is continuously moving across the skin. The quicker the deviation is identified, the quicker the applicator nozzle, or nozzles can be activated. The quicker the nozzles are activated the more likely the skin treatment composition will hit the deviation precisely. This allows for the optimal coverage of the deviation, and minimal coverage on the areas of natural skin that do not need treatment. Wireless communication between the individual components of the device, and the present device with existing computing devices, allows for a multitude of improvements, and consumer benefits. Computing speed, consumer interfaces, consumer feedback, are just a few of the advantages that an existing device might provide to the current device via wireless communication. This is a substantial improvement over more complicated, slower and less precise apparatuses and methods of the past.





BRIEF DESCRIPTION OF THE DRAWINGS

While the specification concludes with claims particularly pointing out and distinctly claiming the present invention, it is believed the same will be better understood from the following description taken in conjunction with the accompanying drawing in which:



FIG. 1 is a schematic representation of an analytical window according to the present invention wherein skin is analyzed according to the methods of the present invention;



FIG. 2 is a hand held apparatus according to the present invention;



FIG. 3 is an ink jet cartridge according to the present invention;



FIG. 4 is the natural, uncovered skin of a female consumer;



FIG. 5 is the same female consumer in FIG. 4 with applied makeup; and,



FIG. 6 is the same female consumer as shown in FIG. 4, with no makeup on, after being treated by the methods and apparatuses of the present invention.





DETAILED DESCRIPTION OF THE INVENTION

The present invention may be understood more readily by reference to the following detailed description of illustrative and preferred embodiments. It is to be understood that the scope of the claims is not limited to the specific compositions, methods, conditions, devices, or parameters described herein, and that the terminology used herein is not intended to be limiting of the claimed invention. Also, as used in the specification, including the appended claims, the singular forms “a,” “an,” and “the” include the plural, and reference to a particular numerical value includes at least that particular value, unless the context clearly dictates otherwise. When a range of values is expressed, another embodiment includes from the one particular value and/or to the other particular value. Similarly, when values are expressed as approximations, by use of the antecedent basis “about,” it will be understood that the particular values form another embodiment. All ranges are inclusive and combinable.


Wireless communications between devices and between components within devices are known to those skilled in the art. The terms “wireless” and “wireless communications” shall mean the communication between components or devices that are accomplished by any of a variety of means including, Wireless Local Area Networks (WLAN) and Wireless Personal Area Networks (WPAN). WLAN networks use the IEEE 802.11 standards, typically known as WIFI, which is intended to replace high speed cabling with wireless communications. WPAN networks use the Bluetooth Special Interest Group standards, which are intended for wireless communication between portable equipment or fixed equipment (for example a home thermostat) and its applications. Near Field Communication (NFC) technology is another suitable wireless communication tool using standards from, for example, the NFC Forum. The apparatuses and methods of the present invention may also use wireless Radio Frequency Identification communication technology (RFID), with standards from a number of regulatory bodies, including International Organization for Standards (ISO), International Electrotechnical Commission (IEC), ASTM International, DASH7 Alliance and EPC Global. WPAN is also known as LAN (Local Area Networks) or WLAN (Wireless Local Area Networks), which is a wireless computer network that links two or more devices using a wireless distribution method within a limited area such as a home, school, office space, and the like. A piconet is a computer network which links a wireless user group of devices using Bluetooth technology protocols. For example, a piconet could include an apparatus according to the present invention connected to a smart phone or a cell phone connected to a computer, a laptop and a Bluetooth-enabled sensor, for example, a digital camera.


The term “frexel” is defined as a small pixel-like region of the keratinous surface. A frexel might correspond to a small portion of a freckle or other skin feature, or it may correspond to an area of the keratinous surface that does not have special features. The term frexel is used to suggest that what is being measured is on a 3-D surface rather than a flat surface. A region of keratinous surface is comprised of a plurality of frexels. For instance, if a resolution of 300 dots per inch (11.8 dots per mm or “dpmm”) is used, a frexel may have a width and height of about 1/300th of an inch (0.085 mm) so that there are approximately 90,000 frexels per square inch (about 140 frexels per square mm). The surface of the human body may have millions of frexels.


All percentages and ratios used herein are by weight of the total composition, and all measurements made are at 25° C., unless otherwise designated.


The methods, apparatuses, and compositions of the present invention are best understood with reference to the method of use. Each of the process steps, the apparatuses and the compositions used in that step are described in turn below. The terms “device” and “apparatus” are used interchangeably throughout this specification.


To better understand how the apparatuses of the present invention work, and why they are so beneficial to the consumer, it is best to understand first what the device does. The present methods, in their simplest form, are directed to analyzing and treating tonal imperfections on human skin that comprises the steps of taking at least one background image of at least 10 μm2 of skin and then calculating the average background L value of the image on a grey scale. Further, from the same image, a localized L value is calculated for individual pixels or a group of pixels. The local L value is then compared to the background L value to identify skin deviations. A skin deviation is an area of skin where the absolute value of the difference between a local L value and the background L, (this difference being defined as “ΔLM” or the measured ΔL, “Δ” is commonly defined as the symbol for a difference between two values) is greater than a predetermined ΔLS. The background L can be preset, or calculated by a variety of methods described below. The skin deviations are then treated with a treatment composition having a predetermined or variable contrast ratio.


The background L can be calculated anywhere within the image. The image is taken where the nozzles will fire the treatment composition. The background L can be the arithmetic average, median, or mean of a plurality of local Ls, which means the calculation can include all of the local Ls in the image, or a subset thereof.


Likewise, there are provided apparatuses for treating human skin. The apparatus has an applicator head that includes multiple applicator nozzles and a reservoir for containing a treatment composition, which can be a skin treatment composition. There is further provided a sensor and a CPU. The sensor takes an image of at least 10 μm2 of skin and the CPU analyzes the image to calculate the average background L value. The sensor output is also used to calculate the localized L value of individual pixels or groups of pixels of skin. The CPU then compares the local L value to the background L value to identify skin deviations where the difference between the two L values is greater than a predetermined value.


Exemplary treatment compositions for use with the present system include cosmetics, polymerics, aqueous, non-aqueous, particle loaded, optical modifier, fillers, optical matchers, skin actives, nail actives, hair actives, oral care actives, anti-inflammatory, antibacterial, surfactant or surfactant containing active, quantum dots and combinations thereof. Exemplary surfaces and substrates for the application of the treatment composition by the present deposition system include keratinous surfaces, woven surfaces, non-woven surfaces, porous surfaces, non-porous surfaces, wood, teeth, tongue, metallic, tile, fabric, and combinations thereof.


The central processing unit (“CPU”) of the device can be any of a variety of commercially available devices. In its simplest form, the CPU is a single programmable chip like those found in consumer electronic devices such as a lap top computer, a cell phone, an electric razor and the like. Those skilled in the art will know of a variety of commercially available chips and other processors suitable for use with this invention. CPU may include Application Specific Integrated Circuit (ASIC), controller, Field Programmable Gate Array (FPGA), integrated circuit, microcontroller, microprocessor, processor, and the like. The CPU may also include memory functionality, either internal to the CPU as cache memory, for example Random Access Memory (RAM), Static Random Access Memory (SRAM) and the like or external to the CPU for example as Dynamic Random-Access Memory (DRAM), Read Only Memory (ROM), Static RAM, Flash Memory (e.g., Compact Flash or SmartMedia cards), disk drives, Solid State Disk Drives (SSD) or even Internet Cloud storage. While it is anticipated that a remote CPU, either tethered to the device, or which communicates wirelessly, can be used to accomplish the methods of the present invention, a local CPU within the device is exemplified herein. Size and speed of the CPU is an important consideration of the design parameters, but cost and other considerations will be considered by the device designers.


The predetermined ΔLS is the absolute value of the difference between the local L and the background L. This value, ΔLS, can be defined in absolute numbers or as a percentage. The sensor is for example a camera that takes black and white or color images, a spectrophotometer or similar devices that are sensitive to electromagnetic wavelengths. The images are taken, or converted to a standard grey scale that is known to the art. It is understood that any numerical scale that measures lightness to darkness can be considered a “grey scale”. Moreover, as used herein, “grey scale” is intended to be a linear scale, or one band, or one visual attribute. For example, one “grey scale” visual attribute could be single wavelength or a narrow wavelength to define a specific visual color. Another example of one “grey scale” visual attribute could be a mix of wavelength numerical values averaged for each pixel making up the image, such as a true black, grey or white image from an RGB mixture.


It will also be understood to those skilled in the art that the background L value should not be too close to the ends of this scale. For example, if the grey scale is 0-100, with 0 being pure black and 100 being pure white, a background in the 0-10 range, or in the 90-100 range may be too light or too dark to show meaningful differences. Accordingly, one can adjust the background lighting, or the gain on the camera taking the image, to move the background L closer to the middle of the scale. In this example, a background L of 50 would be ideal, with a background L in the range of 10-90 preferred, 20-80 even more preferred.


The most common grey scale is 0-255 (no units) other examples include 0-1024 and 0-4096. In this example it would be desirable to use camera and lighting settings that provide a background L value between 60 and 210. Using the 0-255 gray scale the ΔLS is preferably at least 0.5, more preferably at least 1 and even more preferably at least 1.5, to initiate treatment of the skin. Likewise, ΔLS can be measured as a percentage, for example, a numerical ΔLS of 2.6 is approximately equal to 1.0% of a 255 grey scale. Thus ΔLS may be plus or minus 0.25%, preferably plus or minus 0.5% even more preferably plus or minus 0.75%, of the grayscale.


The skin treatment compositions used to hide, or more appropriately, to camouflage a skin deviation are described and exemplified in greater detail below. One important characteristic of the skin treatment compositions of the present invention is the contrast ratio. The contrast ratio of the treatment composition when treating the skin is at least 0.1. The skin lightness and treatment composition lightness can be measured by a calibrated spectrophotometer using known methods. In the case of using a calibrated spectrophotometer, the average L value of human skin usually spans the range of about 25 to 75. In this case the corresponding treatment composition has a lightness value of at least 2 units greater, preferably at least 3 units greater, and even more preferably at least 5 units greater than the average skin lightness value of the consumer.


Images are taken in sequence or preferably continuously. A camera that takes a minimum of 4 frames per second is preferred. Higher speed cameras (greater than 4 frames per second) are desired as well, for example greater than 200 frames per second. All images are either taken in a grey scale or converted to a grey scale, the grey scale can have any range, for example, 0-255, no units. This corresponds approximately to a refresh rate of 0.2 seconds or faster.


There is no technical difference between an image used for background L values and those used for local L values, the difference is in the analysis of the image. Hence, the images are continually sent to the CPU, that is, the processing unit, to calculate the L values, and ΔLM values. By “sent” it is understood, that preferably at least 4 bits of data per pixel are transferred for each image, and preferably, this 4 bit (or more) packet of data is used in the calculation of each local L value. It is understood, that the background L can be calculated once in a treatment period and that value reused throughout the treatment period. Or it can be continually recalculated as long as the treatment process goes on. Moreover, there can be pre-programmed triggers to initiate a recalculation of the background L. Also, the background L may be retrieved from the CPU memory to be used for the current background L. For example, if an extended period of time elapses and no skin deviations are found, or if skin deviations are being found too frequently, a new background L might automatically be calculated. Likewise, ΔLS can be a set value that remains constant throughout the treatment cycle or it too can vary. ΔLS can be reset during the treatment cycle for any of a variety of reasons. If too many nozzles are firing too frequently, the ΔLS can be adjusted to lower the intensity of the nozzle firing. Similarly, if the nozzles are firing too infrequently, ΔLS can be adjusted in the opposite direction to increase the sensitivity of skin deviation detection. Those skilled in the art will appreciate that modifying ΔLS during treatment is a matter of programming the CPU to a desired algorithm.


When the ΔLM exceeds the predetermined value, the skin deviation is treated with the treatment composition. Treatment requires firing one or more of the nozzles which dispense the treatment composition onto the skin in the area of the skin deviation. Preferably the treatment composition is applied to the skin deviations in a discontinuous deposition pattern of discrete droplets between about 1 μm to about 100 μm in size. It is also preferred that no more than 85% of the skin deviation is covered by the treatment composition. More specifically, the treatment composition is applied via a array of nozzles and the local L is calculated along the length of, and in the firing range of, the array of nozzles. The “array” can be a linear configuration, multiple rows, off-set, sine wave, curved, circular, or saw tooth arrangements of nozzles. Those skilled in the printing arts will appreciate the various configurations of nozzle arrays that are possible for use in the methods and apparatuses disclosed herein. The “firing range” of a nozzle will vary based on its size, type, the speed the device is moving, distance from the target, and other parameters. Examples of various types of nozzles suitable for use in the present devices are given below. But in general, “near the nozzle” as used herein is meant to mean the image taken to calculate a local L value is close to the area of skin where the treatment composition is deposited by the nozzle (the firing range, or landing zone of the nozzle). Without intending to limit the invention, near the nozzle means the image should be taken within a radius of about 2 cm, preferably about 1 cm and even more preferably, about 0.7 cm from the center of the nozzle.


An individual nozzle may be fired to deposit the treatment composition, or multiple nozzles fired at the same time. The number of nozzles fired along the linear array of nozzles can be adjusted based on the size of the ΔLM and the size of the skin deviation. Furthermore the frequency of nozzle firing can be adjusted based on the ΔLM, with more droplets being fired in succession in response to larger ΔLM values.


Firing intensity curves can be programmed into the CPU to adjust the firing rate of nozzles. For example, if ΔLM is equal to or slightly greater than ΔLS, then the adjacent nozzle is fired 1 time. If ΔLM increases to 2*ΔLS, then the adjacent nozzle is fired 25 times. If the ΔLM is 3*ΔLS, then the adjacent nozzle is fired 100 times. This non-limiting example is intended to show how the size of the ΔLM with respect to the ΔLS can determine the amount, and hence, the intensity of the firing of the nozzles adjacent the skin deviation. Those skilled in the art will appreciate that plotting a firing intensity curve using 2, 3 or more data points, and then programming that firing intensity curve into the CPU are known techniques.


The methods and apparatuses used by the present invention can be briefly summarized as follows. Referring now to FIG. 1, where analytical window 10 is an area that comprises a sample of skin 12 and nozzle array 20. Nozzle array 20 contains individual nozzles that are off or not firing 24, and individual nozzles that are firing 22. Skin deviations 30 and 31 are shown underneath nozzle array sections 32 and 33. Background L is calculated on and around skin area 12, skin area 14 is where local L1 is measured and skin area 16 is where local L2 is measured. Skin area 14 is under nozzle array 20 but not within a skin deviation. Thus, the absolute value of local L1-background L (ΔL1M) is less than the preset threshold to initiate nozzle firing. The ΔLS threshold required to initiate nozzle firing is a variable and is dependent on the scale used. For example, in a case where the 0-255 gray scale is utilized then the ΔLS threshold required to initiate nozzle firing would commonly be a value of 2 or greater. Thus in the example shown in FIG. 1 the value of ΔL1M is less than 2. Likewise, skin area 16 is within skin deviation 30, and the absolute value of local L2-background L (ΔL2M) is greater than about 2. Thus the nozzles around skin areas 24 and 14 are generally off, and the nozzles around skin area 16 are generally firing. To insure the nozzles do not clog with particles or dried treatment composition, any nozzle can be fired at any time simply to keep it clean and “healthy”. And as discussed above, the number of nozzles directly over a skin deviation that are fired in response to the skin deviation can be adjusted based on the size of ΔLS, the size (e.g., surface area) of the skin deviation or other parameters devised by those skilled in the art.


Treatment times will vary based on the size of the treatment area and the precision and amount of the treatment. For example, a woman may wish to simply touch up a few small areas on her face before going to grocery store. This treatment might take a few minutes. Alternatively, a young bride might wear her wedding dress to a salon where a salon professional meticulously treats all exposed areas of skin prior to the wedding and the taking of her wedding pictures. This full body treatment might take hours. Accordingly, the consumer will have tremendous control over the amount of time they choose to use the present device.


Referring now to FIG. 2, which shows a handheld apparatus 40 according to the present invention. The term “line” as used herein means a line, or method of communication between two elements. This line of communication, for example, image capture line 48, can be a physical connection such as a hard wire or it can be a wireless communication as described herein.


Apparatus 40 is directly above skin 18, separated by physical spacer 42. Physical spacer 42 has a set, predetermined height a such that when it contacts skin 18, the mechanical and electrical elements above the skin are all at a known distance from the skin. The mechanical and electrical elements are associated with apparatus 40 and include, but may not be limited to, light 44, image capture device 46, nozzle array 20 which is embedded on cartridge die 54 which is attached to printer cartridge 52. All of these elements are enclosed within optional apparatus housing 41. Light 44 illuminates the area skin 18 within spacer 42 such that the image capture device 46 has relatively constant illumination. Background lighting will affect the image capture as portions of spacer 42 lift off of skin 18 and allow background light in and the illumination from light 44 to escape, but small deviations in illumination can be corrected for provided light 44 provides a relatively constant background illumination. Light 44 can be a light emitting diode (LED), incandescent light, neon based or any other commercially available source of illumination. Light 44 can have constant illumination or adjustable illumination. For example, an adjustable light source might be useful if the background illumination is excessively bright or dark.


Image capture device 46 can be any of a variety of commercially available devices such as a simple camera or a digital cmos camera chip. Image capture device 46 takes a picture of skin 18 and sends it to processor 50 via image capture line 48 for analysis. Processor 50 is generally referred to as a central processing unit, or CPU, which may comprise a simple circuit board, a more complex computer, or the like and may include memory functionality. Those skilled in the art will appreciate that a CPU can be any of wide variety of commercially available programmable devices. As described above, the image may be analyzed for local L values, background L values or both. Grey scale conversion occurs within the analytical processing capabilities of processor 50. The comparison of background L to local L to determine the ΔLM occurs within processor 50, which can be a commercially available programmable chip, or other commercially available processing units.


Further provided is optional external CPU 43. External CPU 43 may be in communication with any or all of the electronic components of the apparatus described herein. By way of example, external CPU 43 can communicate with CPU processor 50 via external CPU communication line 45 and communicate with sensor 20 via sensor external communication line 47. Lines 47 and 45 can be physical communication lines or, more preferably, they are wireless communication lines.


The results of the image analysis, when compared to criteria pre-programmed into the processor, may result in a desired treatment of the skin. In such a case, for example when the calculate ΔLM exceeds the pre-determined ΔLS, a signal is sent from processor 50 to cartridge 52, via cartridge line 51, to fire one or more of the nozzles in nozzle array 20. Power for cartridge 52, light 44, image capture device 46, processor 50, and other mechanical and electrical elements that might be present is supplied by power element 54 via multiple power lines 55. Power element 54 can be turned off and on, which in turn turns apparatus 40 off and on, via power switch 56 which can be located anywhere on apparatus 40, but is shown here on apparatus cover 58. Power element 54 may include energy storage functionality via a rechargeable battery, a double-layer capacitor, a supercapacitor or a hybrid battery-capacitor system.


No Foam


Turning now to FIG. 3 which is an exploded view of the cartridge 52 comprising cartridge cap 62 and cartridge body 64. Body 64 includes standpipe 66 which is typically enclosed within body 66 and defines nozzle outlet 68. Optional filter 70 helps keep excessively large particles, and other debris out of the nozzle array 76. Filter 70 and nozzle array 76 are on opposite sides of nozzle outlet 68. Treatment composition 74 partially fills cartridge body 64. Foam core 72 fills cartridge 64 and helps to regulate back pressure of the treatment composition 74. While a foam core cartridge is used to describe and exemplify Back pressure can be regulated via bladders (not shown) and other methods known to the art, the foam core shown here is just one example of how to help regulate flow of the treatment composition 74 to standpipe 66 through filter 70 and into nozzle array 76. Connector 78 provides the electrical power and signal to nozzle array 76. Connector 76 may be in wireless communication with the CPU processor 50, external CPU 43, sensor 20 or any other electronic component of apparatus 40 and external apparatus associated therewith.


Treatment composition 74 within cartridge body 64 may comprise particles and the treatment compositions preferably have a particle settling rate of less than 0.06 mm per day at 25° C. and 1 atm pressure. The treatment composition may further have an elastic modulus between about 0.1 Pa to about 1000 Pa at 25 C and 1000 Hz. Preferably, the particles in the treatment composition have a refractive index of between about 1.1 and about 5.0.


While inkjet cartridges are shown and exemplified herein, treatment compositions may be applied with other “flow control” devices or non-drop control devices. Flow control devices typically are characterized as “drop control techniques” where individual droplets of the substance are controlled. Ink jet printers, which are known to the art, are examples of drop on demand applicators and this technology is applicable for use in the present invention. Piezo electric drop control devices and other micro electromechanical systems are appropriate for use with the current devices. Spray devices and electrostatic spray devices are non-drop control techniques where droplets are produced and controlled only in aggregate. Often in a spray device, a lack of individual droplet control, or “randomness” is desired in order to produce a smooth application over a relatively large area. By contrast, it is often desirable to provide very specific control of the amount and placement of the treatment compositions.


Examples of drop control include “fine flow control” where the flow of the substance is precisely controlled to deliver droplets as desired; and “inkjet technologies.” An older inkjet technology includes supplying a continuous flow of charged droplets past electrostatic deflector plates which are alternately charged so that the plates either permit a droplet to pass or deflect to a gutter. This technique was the original design basis for inkjet printers. Other inkjet technologies include “drop on demand” such as thermal devices provided by Hewlett Packard, and piezoelectric devices such as provided by Epson and other printer manufacturers. In one embodiment of the current invention, the drop on demand technology is combined with charging the droplets.


Equipment that might be useful in constructing an apparatus of the present invention are described in the following published patent applications: WO 2008/098234 A2, Handheld Apparatus and Method for the Automated Application of Cosmetics and Other Surfaces, first filed 11 Feb. 2007; WO 2008/100878 A1, System and Method for Applying a Treatment composition to Change a Person's Appearance Based on a Digital Image, first filed 12 Feb. 2007; WO 2008/098235 A2, System and Method for Providing Simulated Images Through Cosmetic Monitoring, first filed 11 Feb. 2007; WO 2008/100880 A1, System and Method for Applying Agent Electrostatically to Human Skin, first filed 12 Feb. 2007; US 2007/0049832 A1, System and Method for Medical Monitoring and Treatment Through Cosmetic Monitoring and Treatment, first filed 12 Aug. 2005; and US 2007/0035815 A1, System and Method for Applying a Treatment composition to Improve the Visual Attractiveness of Human Skin, first filed 12 Aug. 2005; All six applications filed by Edgar et al. The entire disclosure of each of the six Edgar et al. applications is incorporated herein by reference.


The apparatuses of the present invention are preferably handheld but can be tethered to a structure that moves the apparatus across the keratinous surface to be modified. If handheld, the consumer would simply move the apparatus across the keratinous surface to be treated. Optionally, multiple apparatuses can be configured in a stationary structure wherein the consumer places the keratinous surface to be modified and multiple readings and applications occur simultaneously or in sequence.


The treatment composition can be applied to the keratinous surface by scanning and applying at the same time while making multiple passes over the surface. Several advantages result from using multiple pass application. The process for multiple pass applications is to make a partial application of the treatment composition, then to scan again the area of skin that has received the partial application. A further application of treatment compositions can be made, and still further multiple pass scanning and applications can be made to approach an aesthetic goal. Thus, the consumer can select the end point of the treatment, i.e. the “aesthetic goal”, thus tailoring the treatment time to individual needs and preferences. Attempting to make all corrections in one treatment pass has been shown to overcorrect in certain areas.


It may be desirable for the apparatus to treat from about 1.0% to about 10% of the keratinous surface that is read by the sensor with a treatment composition. And the applicator may apply the first treatment composition in droplets having an average diameter of from about from about 0.1 μm to about 50 μm.


TREATMENT COMPOSITIONS

The present invention may utilize a variety of treatment compositions, for example, inks, dyes, pigments, adhesives, curable compositions, optically activated compounds (for example quantum dots), metal oxides (for example, TiO2), bleaching agents, texture reducing polymers, skin care compositions, hair colorants, hair removal compositions (often referred to as depilatories), hair growth stimulants and mixtures thereof.


The treatment compositions of this invention can be delivered alone or in the presence of a dermatologically-acceptable carrier. The phrase “dermatologically-acceptable carrier”, as used herein, means that the carrier is suitable for topical application to the keratinous tissue, has good aesthetic properties, is compatible with any additional components of the skin care composition, and will not cause any untoward safety or toxicity concerns. The carrier can be in a wide variety of forms. Non-limiting examples include simple solutions (water or oil based), emulsions, and solid forms (gels, sticks, flowable solids, amorphous materials). In certain embodiments, the dermatologically acceptable carrier is in the form of an emulsion. Emulsion may be generally classified as having a continuous aqueous phase (e.g., oil-in-water and water-in-oil-in-water) or a continuous oil phase (e.g., water-in-oil and oil-in-water-in-oil). The oil phase of the present invention may comprise silicone oils, non-silicone oils such as hydrocarbon oils, esters, ethers, and the like, and mixtures thereof. For example, emulsion carriers can include, but are not limited to, continuous water phase emulsions such as silicone-in-water, oil-in-water, and water-in-oil-in-water emulsion; and continuous oil phase emulsions such as water-in-oil and water-in-silicone emulsions, and oil-in-water-in-silicone emulsions. The treatment composition can be delivered in a variety of product forms including, but not limited to, a cream, a lotion, a gel, a foam, a paste, or a serum. Additionally, the treatment composition can include for purposes of proper formulation and stabilization anti-fungal and anti-bacterial components.


The treatment compositions of the present invention may comprises humectants as a carrier or chassis for the other components in the treatment composition. An exemplary class of humectants is polyhydric alcohols. Suitable polyhydric alcohols include polyalkylene glycols and alkylene polyols and their derivatives, including propylene glycol, dipropylene glycol, polypropylene glycol, polyethylene glycol and derivatives thereof; sorbitol; hydroxypropyl sorbitol; erythritol; threitol; pentaerythritol; xylitol; glucitol; mannitol; butylene glycol (e.g., 1,3-butylene glycol); pentylene glycol; hexane triol (e.g., 1,2,6-hexanetriol); glycerin; ethoxylated glycerine; and propoxylated glycerine.


Other suitable humectants include sodium 2-pyrrolidone-5-carboxylate, guanidine; glycolic acid and glycolate salts (e.g., ammonium and quaternary alkyl ammonium); lactic acid and lactate salts (e.g., ammonium and quaternary alkyl ammonium); aloe vera in any of its variety of forms (e.g., aloe vera gel); hyaluronic acid and derivatives thereof (e.g., salt derivatives such as sodium hyaluronate); lactamide monoethanolamine; acetamide monoethanolamine; urea; sodium pyroglutamate, water-soluble glyceryl poly(meth)acrylate lubricants (such as Hispagel®) and mixtures thereof.


Inks, dyes, metal oxides and pigments (collectively referred to as “colorants” below) are used to modify the color or reflectance of the keratinous surface. These compositions are commonly used to modify color and reflectance in cosmetic, “make-up” compositions. Foundation, lipstick, eyeliner are just a few examples of these compositions, but they are all applied evenly across large portions of the keratinous surface, that is they are macro-applications. In sharp contrast, the present treatment compositions are selectively applied on a very small scale to select areas, that is, a micro application. Suitable colorants may include inorganic or organic pigments and powders. Organic pigments can include natural colorants and synthetic monomeric and polymeric colorants. Organic pigments include various aromatic types such as azo, indigoid, triphenylmethane, anthraquinone, and xanthine dyes which are designated as D&C and FD&C blues, browns, greens, oranges, reds, yellows, etc. Organic pigments may consist of insoluble metallic salts of certified color additives, referred to as the Lakes. Inorganic pigments include iron oxides, ferric ammonium ferrocyanide, manganese violet, ultramarines, chromium, chromium hydroxide colors, and mixtures thereof. The pigments may be coated with one or more ingredients that cause the pigments to be hydrophobic. Suitable coating materials that will render the pigments more lipophilic in nature include silicones, lecithin, amino acids, phospholipids, inorganic and organic oils, polyethylene, and other polymeric materials. Suitable silicone treated pigments as disclosed in U.S. Pat. No. 5,143,722. Inorganic white or uncolored pigments include TiO2, ZnO, ZrO2, or semiconductor quantum dots, which are commercially available from a number of sources. Other suitable colorants are identified in U.S. Pat. No. 7,166,279. Colorants are generally included at a weight percent such that the skin care composition yields a perceptible color. In one embodiment, the skin care composition exhibits a color that is perceptibly different from the color of the applicator. By perceptibly different, refers to a difference in color that is perceptible to a person having normal sensory abilities under standard lighting conditions (e.g., natural illumination as experienced outdoors during daylight hours, the illumination of a standard 100 watt incandescent white light bulb at a distance of 2 meters, or as defined by CIE D65 standard illuminate lighting at 800 lux to a 1964 CIE standard observer).


Adhesives that are compatible with keratinous surfaces are known and any such adhesive can be applied with the apparatuses of the present invention. Commercially available adhesives compatible with keratinous surfaces are available from the 3M Corporation of Minneapolis Minn. See, for example: U.S. Pat. No. 6,461,467, issued to Blatchford, et al., filed on Apr. 23, 2001; U.S. Pat. No. 5,614,310, issued to Delgado, et al., filed on Nov. 4, 1994; and U.S. Pat. No. 5,160,315, issued to Heinecke et al., filed on Apr. 5, 1991. The entire disclosures of these patent applications are incorporated by reference. After the adhesive is selectively applied to the keratinous surface, a second treatment composition can be dusted on the keratinous surface where it will stick to the adhesive. The second modification that is not adhered to the keratinous surface can then be removed leaving behind a selective, micro application of the second treatment composition. Likewise compositions that cure upon exposure to certain wavelengths of energy, infrared light for example, are known to the art and can be applied by the apparatuses of the present invention. By this method, the curable composition is selectively applied to the keratinous surface and then it is cured by exposing the keratinous surface to the curing energy source. The entire keratinous surface can be exposed, or the exposure can be done at the same time as the application.


Wrinkle or texture reducing polymers and skin tightening are known. See, for example: U.S. Pat. No. 6,139,829, issued to Estrin on Oct. 31, 2000; and US Patent Applications US20060210513A1, filed by Luizzi, et al. on Mar. 21, 2005; US20070224158A1, filed by Cassin et al. on Mar. 18, 2005; and US20070148120A1, filed by Omura et al. on Jan. 14, 2005. The entire disclosures of this patent and these published patent applications are incorporated by reference. More specifically, a cosmetic process for softening the wrinkles of wrinkled skin may comprise applying, to the wrinkled skin, a cosmetic composition, in particular an anti-wrinkle composition, comprising, in a physiologically acceptable medium suitable for topical application to the skin of the face: from 0.1 to 20% by weight of at least one tensioning agent, with respect to the total weight of the composition.


Optically-activated particles can be used as or added to the treatment compositions of this invention. Sometimes referred to a “interference pigments”, these particles include a plurality of substrate particles selected from the group consisting of nylons, acrylics, polyesters, other plastic polymers, natural materials, regenerated cellulose, metals, semiconductor quantum dots and minerals; an optical brightener chemically bonded to each of the plurality of substrate particles to form integral units in the form of optically-activated particles for diffusing light. These particles help to reduce the visual perception of skin imperfections, including cellulite, shadows, skin discolorations, and wrinkles. Each of the optically-activated particles are encapsulated with a UV transparent coating to increase the diffusion of light to further reduce the visual perception of the skin imperfections. The encapsulated optically-activated particles are able to absorb ultraviolet radiation and emit visible light; and the encapsulated optically-activated particles are able to both scatter and absorb light in a diffuse manner in order to reduce the visual perception of skin imperfections, including cellulite, wrinkles, shadows, and skin discolorations, when the optically-activated particles are applied to the skin surface.


Hair colorants and hair removal compositions are also suitable for use with the apparatuses of the present invention. These compositions, and their component parts, are best described by the examples given below. Each of the individual chemical compositions described below for hair colorants can be used in combination with any of the others ingredients, and likewise, those skilled in the art will appreciate that the individual compositions given for depilatories can be used with other ingredients listed in other examples.


Skin care compositions can be applied with the apparatuses of this invention. The skin care composition may be used as, for example, a moisturizer, a conditioner, an anti-aging treatment, a skin lightening treatment, a sunscreen, a sunless tanner, and combinations thereof.


The skin care composition may comprise a safe and effective amount of one or more skin care active (“active”) useful for regulating and/or improving skin condition. “Safe and effective amount” means an amount of a compound or composition sufficient to induce a positive benefit but low enough to avoid serious side effects (i.e., provides a reasonable benefit to risk ratio within the judgment of a skilled artisan). A safe and effective amount of a skin care active can be from about 1×10−6 to about 25% by weight of the total composition, in another embodiment from about 0.0001 to about 25% by weight of the total composition, in another embodiment from about 0.01 to about 10% by weight of the total composition, in another embodiment from about 0.1 to about 5% by weight of the total composition, in another embodiment from about 0.2 to about 2% by weight of the total composition. Suitable actives include, but are not limited to, vitamins (e.g., B3 compounds such as niacinamide, niacinnicotinic acid, tocopheryl nicotinate; B5 compounds, such as panthenol; vitamin A compounds and natural and/or synthetic analogs of Vitamin A, including retinoids, retinol, retinyl acetate, retinyl palmitate, retinoic acid, retinaldehyde, retinyl propionate, carotenoids (pro-vitamin A); vitamin E compounds, or tocopherol, including tocopherol sorbate, tocopherol acetate; vitamin C compounds, including ascorbate, ascorbyl esters of fatty acids, and ascorbic acid derivatives such as magnesium ascorbyl phosphate and sodium ascorbyl phosphate, ascorbyl glucoside, and ascorbyl sorbate), peptides (e.g., peptides containing ten or fewer amino acids, their derivatives, isomers, and complexes with other species such as metal ions), sugar amines (e.g., N-acetyl-glucosamine), sunscreens, oil control agents, tanning actives, anti-acne actives, desquamation actives, anti-cellulite actives, chelating agents, skin lightening agents, flavonoids, protease inhibitors (e.g., hexamidine and derivatives), non-vitamin antioxidants and radical scavengers, peptides, salicylic acid, hair growth regulators, anti-wrinkle actives, anti-atrophy actives, minerals, phytosterols and/or plant hormones, tyrosinase inhibitors, N-acyl amino acid compounds, moisturizers, plant extracts, and derivatives of any of the aforementioned actives. The term “derivative” as used herein refers to structures which are not shown but which one skilled in the art would understand are variations of the basic compound. For example, removing a hydrogen atom from benzene and replacing it with a methyl group. Suitable actives are further described in U.S. application publication No. US2006/0275237A1 and US2004/0175347A1.


Contrast Ratio


Herein, “contrast ratio” refers to the opacity of the composition, or the ability of the composition to reduce or prevent light transmission, determined after the composition is drawn onto an opacity chart (Form N2A, Leneta Company of Manwah, N.J. or the equivalent thereof), and by using a spectrophotometer with settings selected to exclude specular reflection. The composition is applied to the top of the opacity chart and then is drawn into a film having a thickness of approximately 0.01 inches using a film applicator (e.g., as commercially available from BYK Gardner of Columbia, Md., or the equivalent thereof). The film is allowed to dry for 2 hours under conditions of 22° C.+/−1° C., 1 atm. Using a spectrophotometer, the Y tristimulus value (i.e., the XYZ color space of the film) of the product film is measured and recorded. The Y tristimulus value is measured in three different areas of the product film over the black section of the opacity chart, and also in three different areas of the product film over the white section of the opacity chart.


The contrast ratio for the individual layers of the present invention, that is the contrast ratio for the first layer or the powder layer is less than about 20, preferably less than about 10, and even more preferably less than about 6.


The contrast ratio is calculated as the mathematical average of the three Y tristimulus values over the black areas, divided by the mathematical average of the three Y tristimulus values over the white areas, times 100:







Contrast





Ratio

=



average






(
Yblack
)



average






(
Ywhite
)



×
100





EXAMPLES

The following examples further describe and demonstrate embodiments within the scope of the present invention. The examples are given solely for the purpose of illustration and are not to be construed as limitations of the present invention, as many variations thereof are possible without departing from the spirit and scope of the invention.


The following 9 Examples are all treatment compositions of the present inventions. They can be applied by any of the methods and apparatuses described herein, preferably, they are applied via a thermal ink jet printer head and cartridge combination.


Example 1

Treatment Composition















Phase
ingredient
description
wt %


















A
Water
water
64.80


A
Veegum HS
Magnesium Aluminum Silicate
2.00


B
Propylene Glycol
Propylene Glycol
15.00


B
PEG-2M
PEG2M
0.10


C
GLW45GYAP
45% Iron Oxide slurry in
0.60



(yellow iron oxide)
glycerin/water


C
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


C
PVP/VA W 735
50% VP/VA Copolymer in water
1.50


D
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Combine phase B in a separate container and add to phase A with mixing while phase A cools. Add components of phase C one at a time to phase A/B while it continues to cool. When temperature reaches approximately 50 C, Add phase D while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 2

Treatment Composition















Phase
ingredient
description
wt %


















A
Water
water
66.40


A
Veegum HS
Magnesium Aluminum Silicate
0.50


B
Propylene Glycol
Propylene Glycol
15.00


B
GLW45GYAP
45% Iron Oxide slurry in
0.60



(yellow iron oxide)
glycerin/water


B
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


B
PVP/VA W 735
50% VP/VA Copolymer in water
1.50


C
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Add components of phase B one at a time to phase A while it continues to cool. When temperature reaches approximately 50 C, Add phase C while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 3

Treatment Composition















phase
ingredient
description
wt %


















A
Water
water
68.25


A
Veegum Ultra
Magnesium Aluminum Silicate
0.50


B
Propylene Glycol
Propylene Glycol
13.50


B
Sicovit Yellow Iron
100% Yellow Iron Oxide
0.25



Oxide


B
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


B
PVP/VA W 735
50% VP/VA Copolymer in water
1.50


C
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Add components of phase B one at a time to phase A while it continues to cool. When temperature reaches approximately 50 C, Add phase C while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 4

Treatment Composition















phase
ingredient
description
wt %


















A
Propylene Glycol
Propylene Glycol
15.00


A
Versaflex V-150
Steareth-100, Steareth-2, Mannan,
0.50




Xanthan Gum


B
Water
Water
66.75


B
Symdiol
Hexanediol/Caprylyl glycol
1.00


C
Sicovit Yellow Iron
100% Yellow Iron Oxide
0.25



Oxide


C
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


C
PVP/VA W 735
50% VP/VA Copolymer in water
1.50









Combine ingredients of phase A until uniform. Slowly add components of phase B one at a time with mixing. Add components of phase C one at a time using homogenizer to phase A/B to ensure uniformity and even dispersion. Mix for 2-3 minutes then pour into container.


Example 5

Treatment Composition















phase
ingredient
description
wt %


















A
Water
water
70.23


A
Veegum Ultra
Magnesium Aluminum
0.40




Silicate


B
Propylene Glycol
Propylene Glycol
12.50


B
Sodium Carboxymethyl
Cellulose Gum
0.40



Cellulose 7L2P


C
Sicovit Yellow Iron Oxide
100% Yellow Iron Oxide
0.22


C
Sachtleben RC402
Titanium Dioxide
13.75


C
PVP/VA W 735
50% VP/VA Copolymer in
1.50




water


D
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Combine phase B in a separate container and add to phase A with mixing while phase A cools. Add components of phase C one at a time to phase A/B while it continues to cool. When temperature reaches approximately 50 C, add phase D while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 6

Treatment Composition















phase
ingredient
description
wt %


















A
Water
water
65.80


A
Veegum HS
Magnesium Aluminum Silicate
2.00


B
Propylene Glycol
Propylene Glycol
15.00


B
Natrosol 250 LR
Hydroxyethylcellulose
0.50


B
PEG-2M
PEG2M
0.10


C
GLW45GYAP
45% Iron Oxide slurry in
0.60



(yellow iron oxide)
glycerin/water


C
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


D
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Combine phase B in a separate container and add to phase A with mixing while phase A cools. Add components of phase C one at a time to phase A/B while it continues to cool. When temperature reaches approximately 50 C, Add phase D while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 7

Treatment Composition















phase
ingredient
description
wt %


















A
Water
water
70.08


A
Veegum Ultra
Magnesium Aluminum Silicate
0.40


B
Propylene Glycol
Propylene Glycol
12.50


B
Keltrol CG-T
Xanthan Gum
0.05


C
Sicovit Yellow Iron
100% Yellow Iron Oxide
0.22



Oxide


C
Sachtleben RC402
Titanium Dioxide
13.75


C
PVP K15
30% PVP in water
2.00


D
Symdiol
Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Combine phase B in a separate container and add to phase A with mixing while phase A cools. Add components of phase C one at a time to phase A/B while it continues to cool. When temperature reaches approximately 50 C, Add phase D while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 8

Treatment Composition















phase
ingredient
description
wt %


















A
Propylene Glycol
Propylene Glycol
15.00


A
Versaflex V-150
Steareth-100, Steareth-2, Mannan,
0.50




Xanthan Gum


B
Water
Water
64.90


B
Symdiol
Hexanediol/Caprylyl glycol
1.00


C
Sicovit Yellow Iron
100% Yellow Iron Oxide
2.00



Oxide


C
Sicovit Red Iron Oxide
100% Red Iron Oxide
0.10


C
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


C
PVP/VA W 735
50% PVP/VA Copolymer in water
1.50









Combine ingredients of phase A until uniform. Slowly add components of phase B one at a time with mixing. Add components of phase C one at a time using homogenizer to phase A/B to ensure uniformity and even dispersion. Mix for 2-3 minutes then pour into container.


Example 9

Treatment Composition















Phase
ingredient
description
wt %


















A
Water
water
61.25


A
Veegum HS
Magnesium Aluminum Silicate
2.00


B
Propylene Glycol
Propylene Glycol
15.00


B
PEG-2M
Polyethylene Glycol
0.10


C
GLW45GYAP
45% Iron Oxide slurry in
4.00



(yellow iron oxide)
glycerin/water


C
GLW55GRAP
55% Iron Oxide slurry in
0.15



(red iron oxide)
glycerin/water


C
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
15.00


C
PVP/VA W 735
50% PVP/VA Copolymer in water
1.50


D
Symdiol
50/50 Hexanediol/Caprylyl glycol
1.00









Combine ingredients of phase A using a homogenizer for mixing and sifting the Veegum into the water. Begin heating water to 75 C. Continue to mix for 20 min at 75 C. Then shut off heat. Combine phase B in a separate container and add to phase A with mixing while phase A cools. Add components of phase C one at a time to phase A/B while it continues to cool. When temperature reaches approximately 50 C, add phase D while continuing to mix. Mix for 2-3 minutes to ensure homogeneity then pour into container.


Example 10

Treatment Composition















Phase
ingredient
description
wt %


















A
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
22.50


A
GLW45GYAP
45% Iron Oxide slurry in
3.33



(yellow iron oxide)
glycerin/water


A
GLW55GRAP
55% Iron Oxide slurry in
0.17



(red iron oxide)
glycerin/water


B
Water
water
5.00


B
Sodium Hydroxide
NaOH pellets
0.02



Solid


C
Water
water
43.15


C
Propylene Glycol
Propylene Glycol
15.00


C
PVP/VA W 735
50% PVP/VA Copolymer in water
1.50


C
Symdiol
50/50 Hexanediol/Caprylyl glycol
1.00


D
Water
water
8.33









Combine the ingredients in phase A and mix until color is homogenous. Combine the ingredients in phase B and mix until the solid NaOH is thoroughly dissolved. Combine the ingredients in phase C using an overhead mixer to disperse the ingredients. Use a homogenizer to begin milling phase C and slowly adding phase A to phase C. Use phase D as a wash for the phase A container and add the wash to phase C. Mill for 10 minutes or until all ingredients are homogenous. Add phase B to the combined phases as the final addition. Mill and mix the combined phases until homogenous.


Example 11

The following Example includes relatively large particles, and significantly reduced visible red tint.


Treatment Composition















Phase
ingredient
description
wt %


















A
GLW55GRAP
55% Iron Oxide slurry in
0.17



(red iron oxide)
glycerin/water


A
GLW45GYAP
45% Iron Oxide slurry in
3.33



(yellow iron oxide)
glycerin/water


A
GLW75PFAP-MP
75% TiO2 slurry in glycerin/water
22.50


A
Water
water
24.00


B
Water
water
32.48


B
Propylene Glycol
Propylene Glycol
15.00


B
PVP/VA W 735
50% PVP/VA Copolymer in water
1.50


B
Symdiol
50/50 Hexanediol/Caprylyl glycol
1.00


B
Sodium Hydroxide
NaOH pellets
0.02



Solid









Combine the components of phase A together using an overhead mixer until all ingredients are homogenous. Combine the ingredients of phase B together in a separate container with an overhead mixer until the solid NaOH is dissolved and all ingredients are homogenous. Add phase A to one injection chamber of a liquid whistle sonolator system and the other to the second injection chamber. These will serve as two streams of material to form the final product Simultaneously pump both phases into the liquid whistle at 2500 PSI with the internal blade set at a half turn. Collect final product that has reached the required pressure.


Referring now to FIGS. 4, 5 and 6, which are photographs of the same female consumer. FIG. 4 represents her washed, natural, and uncoated skin. FIG. 5 was taken after the subject applied makeup to her face in a manner she would normally do. FIG. 6 was taken after the consumer's makeup was removed and her face treated with the apparatus and methods of this invention. FIGS. 4, 5 and 6 are all taken on the same day, with no appreciable sun exposure between photographs (i.e. the consumer was indoors for the entire treatment period).


Skin deviations 101, 102, 103 and 104 are clear in FIG. 4. After makeup is applied, skin deviations 101, 102, 103 1nd 104 are all still visible. There are tonal differences on the consumer's skin as well as the skin deviations of FIG. 5 vs. FIG. 4. It is clear from FIGS. 4 and 5 that makeup changes the overall tone of human skin, but does not cover up imperfections.


The consumer washes her face to remove the applied makeup after the photograph of FIG. 5 is taken, and then her skin is treated with the apparatuses and methods of this invention, then the photograph of FIG. 6 is taken. Skin deviations 101, 102 and 104 from FIGS. 4 and 5 are largely invisible in FIG. 6. Skin deviation 103 is barely visible after treatment with the present apparatuses and methods. Accordingly, the present apparatuses and methods provide a substantial and visible change to the appearance of human skin versus the natural condition of the skin and the skin with applied makeup.


The dimensions and values disclosed herein are not to be understood as being strictly limited to the exact numerical values recited. Instead, unless otherwise specified, each such dimension is intended to mean both the recited value and a functionally equivalent range surrounding that value. For example, a dimension disclosed as “40 mm” is intended to mean “about 40 mm.”


Every document cited herein, including any cross referenced or related patent or application, is hereby incorporated herein by reference in its entirety unless expressly excluded or otherwise limited. The citation of any document is not an admission that it is prior art with respect to any invention disclosed or claimed herein or that it alone, or in any combination with any other reference or references, teaches, suggests or discloses any such invention. Further, to the extent that any meaning or definition of a term in this document conflicts with any meaning or definition of the same term in a document incorporated by reference, the meaning or definition assigned to that term in this document shall govern.


While particular embodiments of the present invention have been illustrated and described, it would be obvious to those skilled in the art that various other changes and modifications can be made without departing from the spirit and scope of the invention. It is therefore intended to cover in the appended claims all such changes and modifications that are within the scope of this invention.

Claims
  • 1. An apparatus for treating human skin comprising: a. an applicator comprising a head and one or more nozzles;b. a reservoir comprising a skin treatment composition that comprises particles, wherein the particles have a refractive index of between about 1.1 and about 5.0, wherein the treatment composition has a particle settling rate of less than 0.03 mm per day at 25° C. and 1 atm pressure, wherein the treatment composition has a contrast ratio when treating the skin of at least 0.1, and the treatment composition has a lightness value at least 1.5% greater than a background L value;c. a sensor;d. a CPU;wherein the sensor takes the image of at least 10 μm2 of skin; the CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels and the CPU compares the local L value to the background L value calculating a ΔL to identify one or more skin deviations, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located.
  • 2. An apparatus for treating human skin comprising: a. an applicator comprising a head and one or more nozzles;b. a reservoir comprising a skin treatment composition;c. a sensor;d. a CPU;wherein the sensor takes the image of at least 10 μm2 of skin; the CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels and the CPU compares the local L value to a background L value calculating a ΔL to identify one or more skin deviations, wherein the treatment composition is applied to the skin deviation in a discontinuous deposition pattern of discrete droplets between about 1 μm to about 100 μm in size, wherein less than 85% of the skin deviation is covered by the treatment composition, wherein the skin deviation is treated with the skin treatment composition one or more times after the skin deviation is identified until the difference between the background L value and the local L value of the skin deviation is less than 1.5% of the background L value, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located.
  • 3. The apparatus of claim 1 or 2 wherein the apparatus comprises an internal CPU and a remote CPU and wherein the sensor is in wireless communication with one or both of the CPUs.
  • 4. The apparatus of claim 1 or 2 wherein the apparatus is a handheld apparatus comprising a handle, wherein the sensor, the applicator, and the reservoir are contained within the handle, and wherein the one or more CPUs are located in a remote computing device.
  • 5. The apparatus of claim 1 or 2 wherein the wireless communications occurs via a Wireless Local Area Network (WLAN), a Wireless Personal Area Network (WPAN), Near Field Communication technology (NFC), Radio Frequency Identification communication technology (RFID), a piconet computer network, Bluetooth technology, or combinations of these.
  • 6. The apparatus of claim 1 or 2 wherein at least one CPU is located in a visual display unit that is remotely located from the apparatus.
  • 7. The apparatus of claim 1 or 2 wherein the sensor is a camera capable of taking continuous images at a rate of at least 4 frames per second.
  • 8. The apparatus of claim 1 or 2 wherein the applicator is a thermal inkjet printer and cartridge assembly, wherein the cartridge assembly comprises a foam core, solid wax, bladder core, a membrane and combinations of these.
  • 9. The apparatus of claim 1 or 2 wherein the applicator further comprises one or more of an illumination source, a memory unit, an energy source, and an applicator tip.
  • 10. The apparatus of claim 1 or 2 wherein the background L is preselected by a user of the device, calculated from one or more images taken of the skin during a treatment cycle, or calculated for each image taken from pixels within each image taken.
  • 11. The apparatus of claim 1 or 2 wherein the treatment composition is applied to the skin deviation after the skin deviation is identified.
US Referenced Citations (298)
Number Name Date Kind
965322 Peterson Jul 1910 A
1131371 Hatfield Mar 1915 A
1302891 Balthasar May 1919 A
2278421 Brown Apr 1942 A
2361006 Brown Oct 1944 A
2740423 Stillwagon Apr 1956 A
2816729 Jensen Dec 1957 A
2882010 Bryant Apr 1959 A
2912218 Stillwagon Nov 1959 A
2936778 Stillwagon May 1960 A
2994342 Stillwagon Aug 1961 A
3024802 Stillwagon Mar 1962 A
3043557 Stillwagon Jul 1962 A
3051435 Ramsey Aug 1962 A
3072139 Mosites Jan 1963 A
3100500 Stillwagon Aug 1963 A
3127904 Stillwagon Apr 1964 A
3129920 Stillwagon Apr 1964 A
3156161 Forsman et al. Nov 1964 A
3173650 Cotterman et al. Mar 1965 A
3186682 Pierson et al. Jun 1965 A
3233861 Stillwagon Feb 1966 A
3241806 Snell Mar 1966 A
3253815 Stillwagon May 1966 A
3260496 Borcherdt Jul 1966 A
3269414 Mayo Aug 1966 A
3290001 Taylor Dec 1966 A
3298677 Anderson Jan 1967 A
3306316 Stillwagon Feb 1967 A
3314641 Overbaugh Apr 1967 A
3323641 William Jun 1967 A
3334650 Lowery et al. Aug 1967 A
3346005 Hanson Oct 1967 A
3376015 Forsman et al. Apr 1968 A
3452961 Forsman Jul 1969 A
3537683 Snell Nov 1970 A
D222641 Roosa Nov 1971 S
3656712 Bertrem Apr 1972 A
3677297 Walton Jul 1972 A
3680833 McNeely, Jr. Aug 1972 A
3778028 Graves et al. Dec 1973 A
3837620 Malloy et al. Sep 1974 A
3904173 Naylor Sep 1975 A
3960177 Baumann Jun 1976 A
3971229 Privas Jul 1976 A
D243720 Yajima Mar 1977 S
4014511 Uno Mar 1977 A
4025050 Manki et al. May 1977 A
4026514 Sumner et al. May 1977 A
4065979 Killian Jan 1978 A
4077673 Takeshita et al. Mar 1978 A
4079746 Killian Mar 1978 A
4129391 Gamacher Dec 1978 A
4141537 Daghe Feb 1979 A
4270526 Morales Jun 1981 A
4275867 Schils Jun 1981 A
4289297 Nakanishi Sep 1981 A
4335738 Nassir Jun 1982 A
4399833 Holtgraver Aug 1983 A
4413393 Schils Nov 1983 A
4457490 Scobie Jul 1984 A
4465260 Conley et al. Aug 1984 A
4496135 Scobie Jan 1985 A
4541612 Yohner Sep 1985 A
4570901 Holtgraver Feb 1986 A
4600508 DeGhetto Jul 1986 A
4685611 Scobie et al. Aug 1987 A
4699357 Sisk Oct 1987 A
4711427 Holtgraver Dec 1987 A
4751938 Kerns et al. Jun 1988 A
4773625 Calvin Sep 1988 A
4813404 Vallis Mar 1989 A
4822001 Sisk Apr 1989 A
4846221 Kanemaru Jul 1989 A
D314209 McClelland et al. Jan 1991 S
5022426 Fischer Jun 1991 A
5110191 Brown May 1992 A
5160315 Heinecke et al. Nov 1992 A
5169029 Behar et al. Dec 1992 A
5183391 Fiedler Feb 1993 A
5207411 Sisk May 1993 A
5293903 Appelwick Mar 1994 A
5308180 Poumoor et al. May 1994 A
D351190 Oshima et al. Oct 1994 S
5360030 Sisk Nov 1994 A
5614310 Delgado et al. Mar 1997 A
5701927 Hansen, Jr. et al. Dec 1997 A
5706038 Jackson Jan 1998 A
5893393 Erdkamp et al. Apr 1999 A
5980210 Tseng Nov 1999 A
6017110 Jackson Jan 2000 A
D425285 Shinada et al. May 2000 S
6132739 Leverett Oct 2000 A
6139829 Estrin Oct 2000 A
D433752 Saravia Nov 2000 S
D434181 Watanabe et al. Nov 2000 S
6180117 Berthiaume et al. Jan 2001 B1
6276658 Austin Aug 2001 B1
6290324 Jackson Sep 2001 B1
6312124 Esormeaux Nov 2001 B1
D454695 Greene Mar 2002 S
6386692 Cowger et al. May 2002 B1
6451329 Sandewicz et al. Sep 2002 B1
6461467 Blatchford et al. Oct 2002 B2
6557819 Austin May 2003 B2
6622733 Saksa Sep 2003 B2
6723077 Pickup Apr 2004 B2
6810130 Aubert Oct 2004 B1
D534582 Tajima et al. Jan 2007 S
D535326 Chang Jan 2007 S
D535688 Tajima et al. Jan 2007 S
7166279 Law Jan 2007 B2
D537875 Yamada Mar 2007 S
D538335 Chang Mar 2007 S
D541850 Steinmetz May 2007 S
D549279 Steinmetz et al. Aug 2007 S
D562451 Braynin et al. Feb 2008 S
D562452 Iqbal Feb 2008 S
7500732 James Mar 2009 B2
D595407 Braynin et al. Jun 2009 S
7544190 Pickup Jun 2009 B2
D604843 Braynin et al. Nov 2009 S
D608888 Braynin et al. Jan 2010 S
7648364 Dauga Jan 2010 B2
7689016 Stoecker Mar 2010 B2
D621950 Seki et al. Aug 2010 S
7798599 Michael Sep 2010 B2
7824003 Studer Nov 2010 B2
7841686 Kyoshima Nov 2010 B2
7890152 Edgar Feb 2011 B2
8007062 Edgar Aug 2011 B2
8027505 Edgar Sep 2011 B2
D646396 Seki et al. Oct 2011 S
8184901 Edgar May 2012 B2
D662542 Nagashima Jun 2012 S
8231292 Rabe Jul 2012 B2
8297738 Kodama et al. Oct 2012 B1
D674485 Flyash et al. Jan 2013 S
D676959 Flyash et al. Feb 2013 S
D678783 Wilcox et al. Mar 2013 S
8633146 Wang et al. Jan 2014 B2
8637442 Wang et al. Jan 2014 B2
8695610 Samain Apr 2014 B2
D711538 Youngquist et al. Aug 2014 S
8915562 Edgar Dec 2014 B2
8942775 Edgar Jan 2015 B2
9007480 Ciuc et al. Apr 2015 B2
9020184 Edgar Apr 2015 B2
9064279 Tuan et al. Jun 2015 B1
D734479 Youngquist et al. Jul 2015 S
9084587 Eckhouse Jul 2015 B2
D750772 Rabe Feb 2016 S
9247802 Edgar Feb 2016 B2
D750225 Rabe Mar 2016 S
9271554 Nakashima Mar 2016 B2
9442973 Tuan et al. Sep 2016 B1
9449382 Edgar Sep 2016 B2
9462872 Edgar Oct 2016 B2
9519927 Tuan et al. Dec 2016 B1
9522101 Rabe Dec 2016 B2
9592666 Bush Mar 2017 B2
9616447 Bush Apr 2017 B2
9616668 Rabe Apr 2017 B1
9616692 Rabe Apr 2017 B1
9650525 Suthar May 2017 B1
D791933 Rabe et al. Jul 2017 S
9757947 Kuno Sep 2017 B2
9782971 Vernon Oct 2017 B2
9814904 Jones Nov 2017 B2
9878554 Komplin Jan 2018 B1
9907734 Rabe Mar 2018 B2
9924875 Rabe Mar 2018 B2
9925362 Rabe Mar 2018 B2
9928591 Rabe Mar 2018 B2
9949547 Rabe Apr 2018 B2
9949552 Rabe Apr 2018 B2
9955769 Rabe May 2018 B2
9962532 Rabe May 2018 B2
10016046 Edgar Jul 2018 B2
10035355 Komplin Jul 2018 B2
10043292 Edgar Aug 2018 B2
10092082 Edgar Oct 2018 B2
10117500 Samain Nov 2018 B2
10163230 Edgar Dec 2018 B2
10166799 Rabe Jan 2019 B2
10188192 Rabe Jan 2019 B2
10188193 Rabe Jan 2019 B2
10238582 Rabe Mar 2019 B2
10265260 Giron Apr 2019 B2
10314378 Rabe Jun 2019 B2
10391042 Lingoes Aug 2019 B2
10449773 Komplin Oct 2019 B2
10467779 Edgar Nov 2019 B2
10486174 Edgar Nov 2019 B2
10511777 Nichols Dec 2019 B2
10553006 Iglehart Feb 2020 B2
10576746 Higuchi Mar 2020 B2
10610471 Lingoes et al. Apr 2020 B2
10716873 Bush Jul 2020 B2
10813857 Lingoes Oct 2020 B2
10849843 Lingoes Dec 2020 B2
20010003357 Bonomi Jun 2001 A1
20010007677 Nagatani et al. Jul 2001 A1
20020097283 Askren et al. Jul 2002 A1
20020155069 Pruche Oct 2002 A1
20030023235 Cense et al. Jan 2003 A1
20030060810 Syrowicz Mar 2003 A1
20040029981 Herzig et al. Feb 2004 A1
20040073186 Cameron Apr 2004 A1
20040078278 Dauga et al. Apr 2004 A1
20040175347 Bissett Sep 2004 A1
20040186373 Dunfield Sep 2004 A1
20040223985 Dunfield Nov 2004 A1
20040230258 Altshuler et al. Nov 2004 A1
20050053628 Montanari Mar 2005 A1
20050128262 Studer et al. Jun 2005 A1
20050276831 Dihora et al. Dec 2005 A1
20060210513 Luizzi Sep 2006 A1
20060253176 Caruso et al. Nov 2006 A1
20060265823 Knopow et al. Nov 2006 A1
20060275237 Bissett Dec 2006 A1
20070035815 Edgar Feb 2007 A1
20070049832 Edgar Mar 2007 A1
20070148120 Omura Jun 2007 A1
20070224158 Cassin et al. Sep 2007 A1
20080058783 Altshuler et al. Mar 2008 A1
20080060665 Umeno et al. Mar 2008 A1
20080064813 Schneider Mar 2008 A1
20080069620 Anderson Mar 2008 A1
20080079794 Ohira Apr 2008 A1
20080194971 Edgar Aug 2008 A1
20080219528 Edgar et al. Sep 2008 A1
20080317539 Brugger Dec 2008 A1
20090025747 Edgar Jan 2009 A1
20090131922 Dewey et al. May 2009 A1
20100049039 Heehler Feb 2010 A1
20100065576 Verheij Mar 2010 A1
20100224205 Mitra Sep 2010 A1
20100224209 Rabe Sep 2010 A1
20100224210 Rabe Sep 2010 A1
20100224211 Samain Sep 2010 A1
20100272766 Vatter et al. Oct 2010 A1
20110040235 Castel Feb 2011 A1
20110129283 Samain Jun 2011 A1
20110155161 Samain Jun 2011 A1
20110159283 Ha et al. Jun 2011 A1
20110159463 Rabe Jun 2011 A1
20110162673 Samain Jul 2011 A1
20110164264 Silverbrook et al. Jul 2011 A1
20110229247 Song Sep 2011 A1
20110270365 Hamada et al. Nov 2011 A1
20120077725 Wang et al. Mar 2012 A1
20120113171 Murata May 2012 A1
20130189332 Breyfogle Jul 2013 A1
20130216131 Free Aug 2013 A1
20130271484 Aoki Oct 2013 A1
20130289196 Tanrikulu Oct 2013 A1
20130292600 Wang et al. Nov 2013 A1
20130296218 Wang et al. Nov 2013 A1
20130345317 Chiou Dec 2013 A1
20140036054 Zouridakis Feb 2014 A1
20140064821 Price et al. Mar 2014 A1
20140163487 Tout et al. Jun 2014 A1
20140212037 Sasaki Jul 2014 A1
20150030644 Oh et al. Jan 2015 A1
20150036891 Takenouchi Feb 2015 A1
20150059793 Berlepsch et al. Mar 2015 A1
20150359315 Rabe Dec 2015 A1
20150359712 Rabe et al. Dec 2015 A1
20150359714 Rabe Dec 2015 A1
20150360015 Rabe Dec 2015 A1
20150360016 Rabe Dec 2015 A1
20150360017 Rabe Dec 2015 A1
20150360018 Baker Dec 2015 A1
20150360019 Clancy Dec 2015 A1
20150360020 Wu Dec 2015 A1
20150366016 Kitamura Dec 2015 A1
20160022006 Rabe Jan 2016 A1
20160022008 Rabe Jan 2016 A1
20160022009 Rabe Jan 2016 A1
20160022010 Rabe Jan 2016 A1
20160022011 Rabe Jan 2016 A1
20160022972 Rabe Jan 2016 A1
20170065996 Burrowes et al. Mar 2017 A1
20170157963 Rabe Jun 2017 A1
20180001646 Vernon Jan 2018 A1
20180279843 Paul Oct 2018 A1
20180310693 Edgar Nov 2018 A1
20180360190 Lingoes Dec 2018 A1
20180360196 Meschkat Dec 2018 A1
20180360709 Rabe Dec 2018 A1
20180368727 Heath Dec 2018 A1
20190080451 Iglehart Mar 2019 A1
20190193443 Wong Jun 2019 A1
20190209425 Lee Jul 2019 A1
20190263127 Tanioku Aug 2019 A1
20200188250 Lingoes Jun 2020 A1
20200306407 Bush Oct 2020 A1
Foreign Referenced Citations (40)
Number Date Country
2013200395 Feb 2013 AU
101005628 Jul 2007 CN
101657155 Feb 2010 CN
107521229 May 2019 CN
107639939 Feb 2020 CN
10153249 May 2003 DE
202004003148 Mar 2005 DE
2314245 Apr 2011 EP
2657867 Oct 2013 EP
002432773-0001 Oct 2014 EP
2920076 Aug 2007 FR
2933585 Oct 2011 FR
2001314226 Nov 2001 JP
2003052642 Feb 2003 JP
2003054007 Feb 2003 JP
2006271654 Oct 2006 JP
2006297691 Nov 2006 JP
2008206752 Sep 2008 JP
2013020505 Jan 2013 JP
2015209678 Nov 2015 JP
20080069730 Jul 2008 KR
2008010628 Jan 2008 WO
2008098235 Aug 2008 WO
2008100878 Aug 2008 WO
2008098234 Nov 2008 WO
WO2009036876 Mar 2009 WO
2009036924 Jul 2009 WO
2009036925 Jul 2009 WO
2010004528 Jan 2010 WO
WO2010004531 Jan 2010 WO
2010077703 Jul 2010 WO
2011067761 Jun 2011 WO
2012103048 Oct 2012 WO
2013144186 Oct 2013 WO
2014069495 May 2014 WO
2015049757 Apr 2015 WO
D085911-001 Jun 2015 WO
D085910001 Jun 2015 WO
2018088594 May 2018 WO
2018185773 Oct 2018 WO
Non-Patent Literature Citations (18)
Entry
U.S. Appl. No. 14/858,300, filed Sep. 18, 2015, Thomas Elliot Rabe.
U.S. Appl. No. 14/858,367, filed Sep. 18, 2015, Thomas Elliot Rabe.
U.S. Appl. No. 14/858,390, filed Sep. 18, 2015, Thomas Elliot Rabe.
P&G Case 14024 Search Report, dated Aug. 30, 2016; Serial No. PCT/US2016/036781; 14 Pages.
Shivangi Jain et al. “Computer Aided Melanoma Skin Cancer Detection Using Image Processing”. Procedia Computer Science, vol. 48, Jan. 1, 2015 (Jan. 1, 2015). pp. 735-740, XP055296117.
All Office Actions for U.S. Appl. No. 14/858,300, filed Sep. 18, 2015.
All Office Actions for U.S. Appl. No. 14/858,367, filed Sep. 18, 2015.
All Office Actions for U.S. Appl. No. 15/704,541, filed Sep. 14, 2017.
All Office Actions for U.S. Appl. No. 14/858,390, filed Sep. 18, 2015.
U.S. Unpublished Patent U.S. Appl. No. 16/798,559, filed Feb. 24, 2020, to Janette Villalobos Lingoes et al.
U.S. Unpublished Patent U.S. Appl. No. 16/869,586, filed May 7, 2020, to Thomas Elliot Rabe et al.
U.S. Unpublished Patent U.S. Appl. No. 17/019,450, filed Sep. 14, 2020, to Janette Villalobos Lingoes et al.
U.S. Unpublished Patent U.S. Appl. No. 17/079,547, filed Oct. 26, 2020, to Janette Villalobos Lingoes et al.
All Office Actions; U.S. Appl. No. 14/736,524.
All Office Actions; U.S. Appl. No. 14/736,534.
All Office Actions; U.S. Appl. No. 14/736,551.
All Office Actions; U.S. Appl. No. 14/736,507.
Bioresources Com et al: “Peer-Reviewed Article Novel Use of Waste Keratin and Cotton Linter Fibers for Prototype Tissue Papers and Their Evaluation”, Bioresources, Jul. 26, 2010, pp. 1425-1435.
Related Publications (1)
Number Date Country
20160360858 A1 Dec 2016 US
Continuation in Parts (12)
Number Date Country
Parent 14736584 Jun 2015 US
Child 14858357 US
Parent 14807257 Jul 2015 US
Child 14736584 US
Parent 14807297 Jul 2015 US
Child 14807257 US
Parent 14807140 Jul 2015 US
Child 14807297 US
Parent 14807231 Jul 2015 US
Child 14807140 US
Parent 14807198 Jul 2015 US
Child 14807231 US
Parent 14807360 Jul 2015 US
Child 14807198 US
Parent 14736551 Jun 2015 US
Child 14807360 US
Parent 14736507 Jun 2015 US
Child 14736551 US
Parent 14736524 Jun 2015 US
Child 14736507 US
Parent 14736534 Jun 2015 US
Child 14736524 US
Parent 14736563 Jun 2015 US
Child 14736534 US