Continuous wave (CW) fluorescence-based spectroscopy, adopted into both heterogeneous and homogenous biochemical assays, may be used in life science research as well as in-vitro diagnostics. End-point fluorescence-based detection methods for example, may be widely applied for detecting and/or monitoring capturing probe and analyte bindings in surface-based (solid-phase) biochemical assays. Generally, the analyte may contain a fluorophore construct, which may emit light when excited by an optical excitation source. The emission may occur at a longer wavelength than the excitation source. When the capturing probe is attached to a specific and/or addressable coordinate on the surface, analyte capturing may result in the generation of localized fluorescence signals; a phenomenon that can be detected by optical detection devices. Example optical detection devices may include charge-coupled device (CCD) or complementary metal-oxide semiconductor (CMOS) cameras.
Time-gated fluorescence (TGF) analysis is a variant of fluorescence spectroscopy that may be used in certain biochemical assays. Unlike CW fluorescence methods, in TGF, the excitation light may not be continuous and may be applied in a fraction of time only, i.e., it may be time-gated.
In TGF, responses of the analytes to a series of finite time optical excitation pulses are analyzed after each excitation pulse is turned off. In conventional TGF, the emitted photon flux from fluorophores may be measured after every individual excitation pulse. One way to measure the photon flux is to quantify the photo-induced charge within specific integration time interval of a detector (
In certain applications, TGF may have advantages over CW fluorescence. For example, TGF may offer a much higher signal-to background when fluorophore copy number is relatively low. With a sufficiently fast optical excitation switching source, there may be almost no background from the excitation signal during detection. Furthermore, if fluorophores with long life time are used (e.g., Lanthanide chelates), one can also eliminate short lived auto-fluorescence background emissions from surrounding materials and/or biomolecular structures. Examples of auto-fluorescence sources may include plastics, organic polymers, or intercellular debris.
While TGF may be advantageous, its practical implementation can be quite challenging. The first set of challenges may be related to the speed in which the pulsed excitation and detection may occur. In conventional TGF configurations, optical and electronics systems with pulse frequency >100 MHz may be needed. The second set of challenges may originate from the inherent low number of photons that are emitted after each excitation pulse, with a total count less than or equal to the number of fluorophores. Finally, TGF may offer limited “multi-color” capabilities compared to CW fluorescence. In TGF, differentiating fluorophores based on their life-time may require higher speed and lower noise performance for the optics and electronics.
In the present disclosure, apparatus and methods to create high-performance, highly-integrated, and cost-efficient TGF system using semiconductor biochip devices and technologies have been provided. The methods and apparatus of the present disclosure may be used in life science and molecular diagnostics in Genomics and Proteomics, particularly massively-parallel DNA and protein analysis and DNA sequencing.
An aspect of the present disclosure provides a device for detecting a presence or absence of an analyte in a solution, comprising: a chip comprising a sensor comprising an electronic shutter, wherein the sensor is configured to (i) collect a signal from the solution generated upon exposure of the solution to an excitation pulse within a first time period, (ii) with aid of the electronic shutter, remove photo-induced charge generated within a second time period in the sensor by the excitation pulse, wherein the second time period is different from the first time period, and (iii) subsequent to the photo-induced charge being removed, generate an output signal derived at least in part from the signal, wherein the output signal is indicative of the presence or absence of the analyte.
In some embodiments, the second time period precedes the first time period. In some embodiments, the second time period is greater than duration of the excitation pulse. In some embodiments, the chip comprises a plurality of individually addressable locations, wherein the sensor comprising the electronic shutter is disposed on a first location of the plurality of individually addressable locations; and wherein an additional sensor comprising an additional electronic shutter is disposed on an additional location of the plurality of individually addressable locations.
In some embodiments, the signal comprises an electrical signal, and wherein the sensor further comprises at least one transducer configured to convert an optical signal from the solution to the electrical signal. In some embodiments, the electronic shutter comprises an electronic shutter switch operably coupled to the at least one transducer, which electronic shutter switch is configured to facilitate the removal of the photo-induced charge from the at least one transducer upon application of a voltage to the electronic shutter switch. In some embodiments, the sensor further comprises at least one integrator configured to integrate the electrical signal. In some embodiments, the sensor further comprises at least one integration switch disposed between and operably coupled to the at least one transducer and the at least one integrator, wherein the at least one integration switch is configured to transfer the electrical signal from the at least one transducer to the at least one integrator. In some embodiments, the sensor further comprises at least one additional transducer operably coupled to the at least one integrator, which the at least one additional transducer is configured to convert the electrical signal integrated by the at least one integrator to the output signal. In some embodiments, the signal comprises photo-induced charge, and wherein the output signal comprises voltage. In some embodiments, the chip is included in a complementary metal oxide semiconductor (CMOS) integrated circuit (IC).
In some embodiments, the chip further comprises a biosensing layer adjacent to the sensor, and the biosensing layer comprises at least one probe that specifically binds to the analyte. In some embodiments, the signal is derived at least in part from an optical signal produced by a label associated with the analyte upon binding of the analyte to the at least one probe. In some embodiments, the label is a fluorophore. In some embodiments, the signal is derived at least in part from an optical signal or change thereof from the at least one probe or the analyte upon binding of the analyte to the at least one probe. In some embodiments, the at least one probe comprises an energy donor and the analyte comprises an energy acceptor. In some embodiments, the energy donor is a fluorophore, and wherein the energy acceptor is an additional fluorophore or a quencher. In some embodiments, the biosensing layer comprises at least one control probe, and wherein the sensor is configured to collect a control signal from the at least one control probe and normalize the collected signal using the control signal. In some embodiments, the at least one control probe does not bind to or interact with the analyte. In some embodiments, the device further comprises a reaction chamber, a controllable fluidic unit, a temperature control unit, and a digital unit. In some embodiments, the reaction chamber is configured to interface the solution with the chip, and wherein the interfacing comprises an interaction between the analyte and the biosensing layer of the chip. In some embodiments, the controllable fluidic unit is configured to transfer at least a portion of the solution into or out of the reaction chamber. In some embodiments, the digital unit is configured to receive or store the output signal from the chip. In some embodiments, the chip is configured to repeat (i)-(ii) multiple times prior to (iii). In some embodiments, the output signal is a single output.
An aspect of the present disclosure provides a method for detecting a presence or absence of an analyte in a solution, comprising:
(a) activating a chip comprising a sensor comprising an electronic shutter, wherein the sensor is configured to (i) collect a signal generated upon exposure of the solution to an excitation pulse within a first time period, (ii) with aid of the electronic shutter, remove photo-induced charge generated within a second time period in the sensor by the excitation pulse, wherein the second time period is different from the first time period, and (iii) subsequent to the photo-induced charge being removed, generate an output signal derived at least in part from the signal, wherein the output signal is indicative of the presence or absence of the analyte;
(b) removing the photo-induced charge generated within the second time period in the sensor by the excitation pulse, with aid of the electronic shutter;
(c) collecting the signal generated upon exposure of the solution to the excitation pulse within the first time period; and
(d) subsequent to the photo-induced charge being removed, generating the output signal derived at least in part from the signal, which output signal is indicative of the presence or absence of the analyte.
In some embodiments, the sensor is a time-gated fluorescence (TGF) photo sensor. In some embodiments, the method further comprises integrating the signal collected in (c) using the sensor. In some embodiments, the method further comprises, repeating (b)-(c) one or more times. In some embodiments, the one or more times comprise greater than or equal to about 100 times.
Another aspect of the present disclosure provides a device for detecting a signal, comprising: a chip comprising a sensor and an electronic shutter, wherein the sensor is configured to (i) detect the signal within a given time period, and (ii) yield data indicative of a charge generated by the signal, and wherein the electronic shutter is configured to remove a photo-induced charge which comprises a charge generated by an excitation pulse within a time period prior to the given time period; and a readout circuitry operatively coupled to the sensor, wherein the readout circuitry is configured to transmit the data from the sensor to memory.
In some embodiments, the readout circuitry is part of the chip. In some embodiments, the memory is external to the readout circuitry. In some embodiments, the signal is a fluorescence signal. In some embodiments, the chip comprises a sensor array comprising a plurality of individually addressable locations; the sensor and the electronic shutter is disposed on a first location of the plurality of individually addressable locations; and a second sensor and a second electronic shutter is disposed on a second location of the plurality of individually addressable locations. In some embodiments, the sensor is further configured to integrate the charge generated by the signal. In some embodiments, the sensor comprises an integration switch. In some embodiments, the sensor comprises at least one photo-to-charge transducer and at least one charge integrator, and the at least one integration switch locates between the at least one photon-to-charge transducer and the at least one charge integrator. In some embodiments, the chip is included in a complementary metal oxide semiconductor (CMOS) integrated circuit (IC). In some embodiments, the CMOS IC further comprises a heater and temperature control system. In some embodiments, the heater and temperature control system controls temperature at the plurality of individually addressable locations.
In some embodiments, the chip further comprises a biosensing layer adjacent to the sensor, and the biosensing layer comprises a surface comprising a plurality of probes. In some embodiments, probes of the plurality of probes are identical. In some embodiments, the sensor receives a fluorescent light from a fluorescent source associated with the biosensing layer. In some embodiments, the fluorescent source is a fluorophore. In some embodiments, the fluorophore is attached to at least one probe of the plurality of probes. In some embodiments, the plurality of probes comprise at least one control probe. In some embodiments, the at least one control probe does not bind to or interact with a target molecule. In some embodiments, each probe of the plurality of probes specifically binds to or interacts with a target molecule. In some embodiments the target molecule comprises a target molecular label. In some embodiments, the target molecular label comprises a target fluorophore. In some embodiments, each probe of the plurality of probes further comprises a molecular label. In some embodiments, the molecular label comprises a fluorophore. In some embodiments, the specific binding or interaction between the probe and the target molecule changes the fluorescence emitted from the fluorophore. In some embodiments, the device further comprises a reaction chamber, a controllable fluidic system, a temperature control system, and a digital system. In some embodiments, the reaction chamber interfaces a sample with the biochip, and the interfacing comprises an interaction between the sample and the biosensing layer of the chip. In some embodiments, the controllable fluidic system transfers at least one reagent into and/or out of the reaction chamber. In some embodiments, the at least one reagent comprises the sample. In some embodiments, the temperature control system sets a first temperature at the reaction chamber at a first time point. In some embodiments, the digital system sends instructions to the chip and the temperature control system. In some embodiments, the digital system further stores the data from the chip. In some embodiments, the digital system further receives the data from the chip.
Still another aspect of the present disclosure provides a method for detecting a signal, comprising activating a chip comprising a sensor and an electronic shutter, wherein the sensor is configured to (i) detect the signal within a given time period, and (ii) yield data indicative of a charge generated by the signal, and wherein the electronic shutter is configured to remove a photo-induced charge which comprises a charge generated by an excitation pulse within a time period prior to the given time period; (b) using the electronic shutter to remove the photo-induced charge within the time period prior to the given time period; (c) using the sensor to detect the signal within the given time period and yield the data indicative of the charge generated by the signal; and (d) transmitting the data to memory.
In some embodiments, the sensor is a time-gated fluorescence (TGF) photo sensor. In some embodiments, (c) further comprises integrating the charge generated by the signal using the sensor. In some embodiments, the method further comprises, repeating (a)-(c) one or more times. In some embodiments, the one or more times comprise greater than or equal to about 10 times. In some embodiments, the one or more times comprise greater than or equal to about 50 times. In some embodiments, the one or more times comprise greater than or equal to about 100 times. In some embodiments, the method further comprises generating an output signal using the chip. In some embodiments, the output signal is a single output signal. In some embodiments, the chip comprises a plurality of independently addressable locations. In some embodiments, the chip further comprises an additional sensor and an additional electronic shutter, the sensor and the electronic shutter are disposed on a first location of the plurality of independently addressable locations, and the additional sensor and the additional electronic shutter are disposed on a second location of the independently addressable locations. In some embodiments, the first location is different from the second location. In some embodiments, the method further comprises using the additional electronic shutter to remove an additional photo-induced charge within the time period prior to the given time period. In some embodiments, the method further comprises using the additional sensor to detect an additional charge generated by an additional signal within the given time period and yield additional data indicative of the additional charge generated by the additional signal. In some embodiments, the method further comprises integrating the additional charge using the sensor. In some embodiments, the plurality of independently addressable locations comprises greater than or equal to about 100 locations. In some embodiments, the plurality of independently addressable locations comprises greater than or equal to about 1,000 locations. In some embodiments, the plurality of independently addressable locations comprises greater than or equal to about 100,000 locations. In some embodiments, the plurality of independently addressable locations comprises greater than or equal to about 100 locations are pixels.
Another aspect of the present disclosure provides a method for operating a time-gated fluorescence (TGF) detection, comprising (a) activating a chip comprising a surface and an integrated circuit (IC) comprising at least one photo-sensor, wherein the IC comprises an electronic shutter; (b) directing a pulse of excitation light from an excitation light source to the surface; (c) during a first time period, using the electronic shutter to remove a first photo-induced charge from the photo-sensor, wherein the first photo-induced charge comprises a charge generated by the pulse of excitation light during the first time period; (d) during a second time period subsequent to the first time period, measuring a second photo-induced charge generated in the photo-sensor, wherein the surface is not exposed to the excitation pulse during the second time period; and (e) integrating the second photo-induced charge measured in (d) during the second time period.
In some embodiments, the excitation pulse is generated by a laser. In some embodiments, the integrating is conducted by using a sub-circuit comprised in the chip. In some embodiments, the method further comprises, repeating (a)-(e) one or more times. In some embodiments, the one or more times comprise greater than or equal to about 10 times. In some embodiments, the one or more times comprise greater than or equal to about 50 times. In some embodiments, the one or more times comprise greater than or equal to about 100 times. In some embodiments, the method further comprises generating an output signal. In some embodiments, the output signal is a single output. In some embodiments, the method further comprises resetting once the sub-circuit. In some embodiments, the sub-circuit is not reset during the repeating. In some embodiments, the sub-circuit is not reset between each of the repeating. In some embodiments, the method further comprises, prior to (b), resetting the sub-circuit. In some embodiments, there is a gap between the first time period and the second time period. In some embodiments, the surface comprises a biosensing layer comprising at least one probe. In some embodiments, the at least one probe comprises a fluorophore. In some embodiments, the fluorophore emits a fluorescent signal when excited by the excitation light. In some embodiments, the surface comprises a target molecule. In some embodiments, the at least one target molecule comprises a fluorophore. In some embodiments, the fluorophore emits a fluorescent signal when excited by the excitation light. In some embodiments, the at least one probe specifically binds to or interacts with the target molecule, thereby modulating the fluorescent signal emitted from the fluorophore comprised in the at least one probe. In some embodiments, the integrating comprises integrating photocurrent. In some embodiments, the method further comprises converting the integrated photocurrent from an analog format to a digital format.
Another aspect of the present disclosure provides a device comprising: a chip operatively coupled to a light source, the chip comprising a sensor which is configured to: (a) periodically detect one or more signals from an analyte associated with a surface of the chip, wherein the one or more signals are produced during or subsequent to subjecting the analyte to the light source; (b) integrate at least a subset of the one or more signals detected in (a) to produce an integrated signal; and (c) generate an output signal based on the integrated signal.
In some embodiments, the chip comprises an integrated complementary metal-oxide semiconductor (CMOS) chip. In some embodiments, the output signal is a single output signal. In some embodiments, the sensor is a time-gated fluorescence (TGF) sensor. In some embodiments, the device does not comprise an optical filter disposed adjacent to the chip. In some embodiments, the output signal is indicative of a characteristic of the analyte. In some embodiments, the chip comprises a sensor array comprising a plurality of sensors. In some embodiments, each of the plurality of sensors is disposed at an individually addressable location of the sensor array. In some embodiments, the analyte comprises a fluorophore. In some embodiments, the output signal is used to measure a lifetime of the fluorophore. In some embodiments, the analyte is immobilized on the surface. In some embodiments, the analyte is part of a molecule immobilized on the surface. In some embodiments, the analyte is immobilized on the surface via a linker. In some embodiments, the one or more signals comprise fluorescent photons. In some embodiments, the sensor comprises a transducer configured to convert the fluorescence photons into an electrical signal. In some embodiments, the sensor comprises a transducer configured to convert the fluorescence photons into charges. In some embodiments, the sensor further comprises an integrator configured to integrated the one or more signals. In some embodiments, the sensor comprises a switch operatively coupled to the transducer and the integrator. In some embodiments, the switch transfers the charges from the transducer to the integrator. In some embodiments, the integrator is operatively coupled to an additional transducer. In some embodiments, the additional transducer converts the charges to an electrical signal, thereby generating the output signal comprising the electrical signal. In some embodiments, the electrical signal comprises a voltage. In some embodiments, the light source is a pulsed light source. In some embodiments, the pulsed light source is a laser, or a light emitting diode. In some embodiments, the pulsed light source is periodically modulated in a predetermined frequency.
Another aspect of the present disclosure provides a method comprising: (a) activating a chip comprising a sensor which is configured to (i) periodically detect one or more signals from an analyte associated with a surface of the chip, wherein the one or more signals are produced during or subsequent to subjecting the analyte to a light source; (ii) integrate at least a subset of the one or more signals detected in (i) to produce an integrated signal; and (iii) generate an output signal based on the integrated signal; (b) directing the light source to the chip to generate the one or more signals; (c) detecting periodically the one or more signals from the analyte during or subsequent to subjecting the analyte to the light source; (d) integrating the at least the subset of the one or more signals to produce the integrated signal; and (e) generating an output signal based on the integrated signal.
In some embodiments, the light source is a pulsed light source. In some embodiments, (c) is conducted periodically at given intervals. In some embodiments, (c) occurs during or after each time the pulsed light source is off. In some embodiments, the output signal is a single output signal. In some embodiments, (d) is conducted using an integrator. In some embodiments, (c) or (e) is conducted using a transducer. In some embodiments, the output signal is an electrical signal. In some embodiments, the one or more signals are detected by the sensor in the absence of passing through an optical filter.
Additional aspects and advantages of the present disclosure will become readily apparent to those skilled in this art from the following detailed description, wherein only illustrative embodiments of the present disclosure are shown and described. As will be realized, the present disclosure is capable of other and different embodiments, and its several details are capable of modifications in various obvious respects, all without departing from the disclosure. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.
The novel features of the invention are set forth with particularity in the appended claims. 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 (also “figure” and “FIG.” herein), of which:
While various embodiments of the invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions may occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed.
The term “analyte” or “target” as used herein generally refers to a molecular species to be detected. Examples include small molecules such as organic compounds, drugs, hormones, lipids, steroids, or metabolites; polynucleotides such as deoxyribonucleic acid (DNA) molecules, ribonucleic acid (RNA) molecules, and peptide nucleic acid (PNA); polypeptides such as proteins, peptides, antibodies, antigens, enzymes, and receptors; as well as tissues, organelles, and other receptor probes.
The term “probe” or “capturing probe” as used herein generally refers to a molecular species and/or other markers that can bind to a specific analyte or target. Probes can comprise molecules and can be bound to the substrate, molecules, or other solid surface, directly or via a linker. Non-limiting examples of linkers include amino acids, polypeptides, nucleotides, oligonucleotides, and chemical linkers. A plurality of probes can be immobilized to a substrate, molecule or other solid surface and can be referred to as a probe array. A plurality of probes of a probe array may be arranged uniformly, for example as an arrangement of spots, or non-uniformly.
The term “about” or “nearly” as used herein generally refers to within +/−15%, 10%, 9%, 8%, 7%, 6%, 5%, 4%, 3%, 2%, or 1% of the designated amount.
The term “label” as used herein refers to a molecular structure that can be attached to a molecule (e.g., a target and/or a probe), to make the molecule detectable, distinguishable and/or traceable by providing a characteristic which may not be intrinsic to the target molecule. Examples of labels may include are luminescent molecules (e.g., fluorophores), reduction-oxidation (redox) species, or enzymes. In some cases, labels may comprise fluorophores with long lifetimes, such as, for example, lanthanide chelates and transition metal chelates, which are luminescent or phosphorescent.
The term “nucleotide,” as used herein, generally refers a molecule that can serve as the monomer, or subunit, of a nucleic acid, such as deoxyribonucleic acid (DNA) or ribonucleic acid RNA). A nucleotide can be a deoxynucleotide triphosphate (dNTP) or an analog thereof, e.g., a molecule having a plurality of phosphates in a phosphate chain, such as 2, 3, 4, 5, 6, 7, 8, 9, or 10 phosphates. A nucleotide can generally include adenosine (A), cytosine (C), guanine (G), thymine (T) and uracil (U), or variants thereof. A nucleotide can include any subunit that can be incorporated into a growing nucleic acid strand. Such subunit can be an A, C, G, T, or U, or any other subunit that is specific to one or more complementary A, C, G, T or U, or complementary to a purine (i.e., A or G, or variant thereof) or a pyrimidine (i.e., C, T or U, or variant thereof). A subunit can enable individual nucleic acid bases or groups of bases (e.g., AA, TA, AT, GC, CG, CT, TC, GT, TG, AC, CA, or uracil-counterparts thereof) to be resolved. A nucleotide may be labeled or unlabeled. A labeled nucleotide may yield a detectable signal, such as an optical, electrostatic or electrochemical signal.
As used herein, the terms “polynucleotide”, “oligonucleotide”, “nucleotide”, “nucleic acid” and “nucleic acid molecule” generally refer to a polymeric form of nucleotides (polynucleotides) of various lengths, either ribonucleotides (RNA) or deoxyribonucleotides (DNA). Examples of nucleotide sequences are sequences corresponding to natural or synthetic RNA or DNA including genomic DNA and messenger RNA. The length of the sequence can be any length that can be amplified into nucleic acid amplification products, or amplicons, for example, up to about 20, 50, 100, 200, 300, 400, 500, 600, 700, 800, 1,000, 1,200, 1,500, 2,000, 5,000, 10,000 or more than 10,000 nucleotides in length, or at least about 20, 50, 100, 200, 300, 400, 500, 600, 700, 800, 1,000, 1,200, 1,500, 2,000, 5,000, 10,000 or 10,000 nucleotides in length.
As used herein, the terms “peptide,” “polypeptide,” and “protein” are used interchangeably, and generally refer to a compound comprised of amino acid residues covalently linked by peptide bonds. Polypeptides may include any peptide or protein comprising two or more amino acids joined to each other by peptide bonds. Examples of polypeptides may include, for example, biologically active fragments, substantially homologous polypeptides, oligopeptides, homodimers, heterodimers, polypeptides and variants thereof, modified polypeptides, derivatives, analogs, fusion proteins, or combinations thereof. A polypeptide may be a natural peptide, a recombinant peptide, or a combination thereof.
As used herein, the singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.
The term “detector” as used herein generally refers to a device, generally including optical and/or electronic components that can detect signals.
TGF System Overview
The present disclosure provides methods, devices, reagents and systems based on time-gated fluorescence (TGF). The system may comprise a TGF based biochip. The TGF biochip may be semiconductor-integrated. In some cases, the semiconductor platform and manufacturing process through which the system is created is complementary metal-oxide-semiconductor (CMOS).
The methods and systems of the present disclosure may be used to detect, analyze, and/or quantify a plurality of analytes present in an aqueous sample through TGF transduction methods. The TGF CMOS biochip can be a monolithically-integrated biosensor array with addressable locations. See, e.g., U.S. Pat. Nos. 9,708,647, 9,499,861 and 10,174,367, each of which is entirely incorporated herein by reference. Each addressable location may comprise an independently operating TGF photo-sensor that detects TGF signals from its dedicated sensing area. The sensing/detection may be conducted in real-time and in the presence of an aqueous sample, or when such a sample is washed away. The TGF photo-sensor can adopt periodic charge integration (PCI) methods in which periodical signal accumulation is performed by applying multiple time-gated excitation pulses. The TGF CMOS biochip system can physically interface with the aqueous sample and apply physiochemical processes to the sample, including, for example, applying time-varying temperature profiles, biochemical reagents, or pulsed excitation photon fluxes to the sample.
The TGF CMOS biochip system, as illustrated in
As shown in
The architecture of the integrated CMOS IC for the TGF biochip is illustrated in
The chip may also include a resistive heater and a temperature sensor to accommodate the temperature control of the reaction chamber (e.g., Hassibi, A. et al. “A fully integrated CMOS fluorescence biochip for DNA and RNA testing,” IEEE Journal of Solid-State Circuits, 52(11):2857-2870, 2017). In addition, the CMOS IC can also include a control block to be programmed and accessed off-chip by the user to set the functionality of the chip and manage the data acquisition.
The general topology of an example TGF pixel is shown in
TGF pixel of the present disclosure may be different from conventional detectors for TGF or time-resolved fluorescence. One difference is the absence of the SS and SI and the capability of selectively discarding or integrating the generated charge of the PCT. In
In the present disclosure, by using the topology shown in
The challenges in the implementation of PCI-TGF may revolve around the circuit and device implementation of the switches, efficient approaches of transferring charge in time intervals compatible with TGF, and CIE.
Biosensing Layer
The biosensing layer as provided herein may include an organic layer that may be created on top of a CMOS IC and interfacing the reaction chamber to: (a) form addressable location(s) for probes on top of the pixels; and (b) enable TGF transduction by first capturing targets and subsequently creating TGF signals as a function of the probe target interactions and/or structure of the captured target.
Biosensing layers may be created by various methods. For example, specific probe structures may be physically printed, immobilized, or spotted or chemically synthesized on a surface. In some cases, probes are first randomly distributed within the array 2D surface and then identified prior to detecting the targets by alternative approaches that are known in the field. In some cases, the surface of the IC (typically made of SiO2 or Si3N4) may be chemically modified with linkers and/or thin film structures to become compatible with probe attachment.
Reaction Chamber
The reaction chamber as provided herein may be a fluidic chamber that interfaces with the CMOS TGF biochip and contains the fluidic sample with analytes, targets, and other biochemical reagents that are required for the execution of the TGF assay.
The volume of this reaction chamber can be between about 0.1 μL to 10,000 μL, e.g., between about 1 μL to 100 μL.
The reaction chamber may comprise a plurality of inlets and outlets to accommodate the interfacing with the controllable fluidic system to insert or remove fluids.
To accommodate TGF, the fluidic system can provide a transparent optical travel path for the pulse F to go through the fluidic and reach the biosensing layer. The transmittance in the wavelengths of Fx can be from 1% to 99.9%, but typically is from 5% to 80%.
The reaction chamber can be built using a variety of materials such as polymers, glass, semiconductor, crystals, or ceramics materials, or a combination of them.
Excitation Source
The excitation source as provided herein may comprise an optical light source that can create a wavelength selective photon flux (Fx) with a controllable and time-varying amplitude. The light source may illuminate the biosensing layer of the system and the coordinates in which TGF transduction takes place.
The excitation source center wavelength can be anywhere between about 200 nm to 1500 nm, e.g., between about 300 nm to 800 nm.
The excitation source spectral span (bandwidth) may be from about 1 nm to 500 nm, e.g., from about 10 nm to 100 nm.
The excitation source photon flux may be directional and may be optically collimated.
The excitation source peak output power may be from about 10 mW to 100 W, e.g., from about 100 mW to 10 W.
The excitation source power may be controllable and modulated with bandwidth of up to about 1 GHz, e.g., up to about 1 MHz
The excitation source turns off and on times may be as fast as about 0.1 nanosecond (ns), e.g., as fast as about 1 microsecond (μs).
Controllable Fluidic System
The controllable fluidic system introduces into, and/or removes from, and/or confines within the reaction chamber aqueous media that can include samples and assay reagents, and/or TGF transduction reagents in a controlled fashion by the user. The workflow and sequence of each fluidic operation may be defined by the assaying method and can be, for example, flow-through and mono-directional, or closed-tube.
The controllable fluidic system may use fluidic components such as pumps, valves, and tubing to perform the workflow.
Temperature Controller
The temperature controller system can establish a specific temperature for the fluidic of the reaction chamber, and/or create a temperature profile that requires heating and/or cooling. A temperature controller can include a feedback control system that measures the temperature, using temperature sensors within the CMOS biochip IC and/or sensor devices coupled with the reaction chamber (such as a thermistor or a thermocouple), and, based on the measured temperature, add or remove heat from the reaction chamber using CMOS biochip IC heaters and/or thermal devices (such as Peltier devices or resistive heaters). Temperature controllers can comprise heat sinks for removing heat. Temperature controllers can have components within the CMOS IC, including resistive heaters and/or temperature sensors.
Temperature controllers can change the temperature of a substrate, reaction chamber, or array pixel. The rate of temperature change can be about 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20° C./minute. The rate of temperature change can be at least about 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20° C./minute. The rate of temperature change can be at most about 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20° C./minute. Temperature controllers can change temperature at a linear rate (e.g., 5° C./second). Alternatively, temperature controllers can change temperature at a non-linear rate. Temperature controllers can increase or decrease temperature.
Digital System
The digital system is essentially a computing and controlling digital hardware And embedded software than can control and coordinate the functionality of the components of the system.
TGF Reagents and Reporter Molecular Constructs
To enable TGF transduction, we can use molecular structures and constructs that exhibit fluorescence activity. Such molecular structures are sometimes referred to as fluorophores (or fluorochromes, similarly to chromophores) which are chemical compound that can re-emit light upon light excitation with life-times from about 10 ps to 10 ms, e.g., from about 1 ns to 100 ns.
As provided herein, various types of fluorophores can be adopted by a TGF system. In some cases, fluorophores that have longer life-times, e.g., greater than about 100 ns, may be used. In cases where fluorophores with longer lifetime are used:
TGF systems may not need an excitation and emission filter set, or other filters of wavelength to transmit a desired signal for an analyte and/or remove background fluorescence from signals of the analyte. In some cases, the emission filter may filter out violet, blue, green, yellow, orange, and red light, or any combination thereof.
Various types of fluorophores may permit multi-color capabilities. In TGF, differentiating fluorophores may be determined by the differences in their fluorescence lifetimes after excitation. In some cases, these fluorophores can be reactive and/or conjugated dyes, nucleic acid dyes, fluorescent proteins, and cell function dyes. Once emission light is pulsed in the direction of a substrate containing the fluorophore species, a shutter may close off the detection apparatus from the emission light and the reflected emission light. The shutter may be removed to let in the desired fluorescent light. A first fluorophore with a shorter lifetime can be detected among the detected signals if the shutter opens shortly after the emission is stopped. A second fluorophore with a longer lifetime can be detected if the shutter is opened after waiting for a longer time after the emission is stopped. In this scenario, the second fluorophore (longer lifetime) may be detected with little or no interference of the first fluorophore (shorter lifetime). In addition, readings of the signals corresponding to the first fluorophore (shorter lifetime) in the presence of the second fluorophore (longer lifetime) can be estimated or calculated by calibration of the detected signals using information about the second fluorophore (longer lifetime) detected and/or determined later. Other experimental designs for the multiplex detection of multiple fluorophores are possible with or without the use of emission and excitation filter sets. Accordingly, multiple fluorophores can be detected in a single experiment by the opening and closing of the shutter following the emission in the absence of excitation and emission filter sets. Individual species of fluorophores can be detected based on the differences in their decay rates by varying the delay profiles of the shutter and the time during which the shutter is opened. The multi-color capability may be limited by shutter speed and the overlap between fluorescence decay rates of the fluorophores to be detected.
For example, in some examples, metal chelate, such as Lanthanide chelates can be used as TGF fluorophores. In some cases, TGF fluorophores may predominantly act as molecular reporters in TGF assays either as a standalone reporter or an element (donor or acceptor) in a fluorescence energy transfer moiety. Examples include, but are not limited to, Forster Resonance Energy Transfer (FRET) technologies. See Song, Y., et al., “Development of FRET assay into quantitative and high-throughput screening technology platforms for protein-protein interactions,” Annals of biomedical engineering 39(4): 1224-1234, 2011. The role of TGF fluorophores may include facilitating the generation of a specific TGF signal that may be correlated to the presence or absence of a molecular reaction or presence or absence of a specific target molecule.
TGF fluorophores can be used as labels for specific target analytes, in applications where the targets can be chemically modified to incorporate a TGF fluorophore. Examples includes, but are not limited to, Northern blots, Southern blots, DNA microarrays, quantitative Polymerase Chain Reaction (PCR), digital PCR, and diagnostic assays.
TGF fluorophores can also be used as labels for the detection of probes in sandwich assays. Examples include, but are not limited to, Western Blots, Enzyme-Linked Immunosorbent Assay (ELISA), Enzyme-Linked Immuno SPOT (ELISPOT) including FluoroSpot (See, e.g., G. Kesa et al., “Comparison of ELISpot and FluoroSpot in the Analysis of Swine Flu-Specific IgG and IgA Secretion by in Vivo Activated Human B Cells,” Cells 1(2): 27-34, 2012), and protein arrays.
TGF fluorophores can be used as labels in cell sorting, counting, and detecting methods. An example may be flow cytometry, in which cells are labeled with a fluorophore.
TGF fluorophores can be used in applications where solid-phase and immobilized probes are labeled. Examples are inverse fluorophore assays (e.g., A. Hassibi et al., “Multiplexed identification, quantification and genotyping of infectious agents using a semiconductor biochip,” Nature biotechnology, 36(8):738-745, 2018)
TGF fluorophores can be used in assays in which the chemical reactions are monitored while a target molecule is introduced to a reacting reagent. The target molecule and/or the reacting reagent may include TGF fluorophores. Examples are Sanger sequencing, Next Generation Sequencing (NGS) assays such as sequence-by-synthesis (SBS) (See, Ansorge; Metzker; and Pareek et al., “Sequencing technologies and genome sequencing,” J. Appl. Genet., 52(4):413-435, 2011), sequence-by-hybridization (SBH) (See, Qin, Schneider and Brenner, “Sequencing by Hybridization of Long Targets,” PLoS One., 7(5):e35819, 2012), and pyrosequencing.
Sequence information of nucleic acids may be used to improve people's lives. (See, e.g., Ansorge, W., “Next-generation DNA sequencing techniques,” New Biotech. 25(4):195-203, 2009). Several DNA sequencing platforms have been commercially available. The availability of parallel NGS technologies may enable the comprehensive analysis for biological targets, including but not limited to genomes, transcriptomes and interactomes. (See, e.g., Shendure, J. and Ji, H., “Next-generation DNA sequencing,” Nature Biotech. 26:1135-45, 2008). However, although NGS technologies may produce comprehensive results, their turnaround time may be too slow to address the rapid progression of an infectious process in critically ill patients. In addition, while multiplexing a large number of target amplification reactions (e.g., multiplexed PCR) may be possible, but it is not straightforward to detect multiple amplicons simultaneously.
Commercially available NGS sequencing platforms may include the Illumina Genome Analyzer, the Roche (454) Genome Sequencer, the Life Technologies SOLiD platform, and real-time sequencers such as those from Pacific Biosciences. These platforms may require the construction of a set of DNA fragments from a biological sample. In most cases, the DNA fragments are flanked by platform-specific adapters.
In this example, a fully-integrated TGF CMOS biochip is presented that is specifically designed for DNA and protein addressable arrays of biotechnology. As shown in
The architecture of the chip and 120 μm-pitch biosensing pixels and decimation cells are shown in
In the CWF mode (i.e., no pulsed excitation source or electronic shuttering), the ΔΣ current detector operates continuously with frequency of fc while the decimation cell implements a sinc2 filter, by performing a two-stage 32-bit accumulation followed by down-sampling and readout with frequency of fs. In the TGF mode, similar operation is done, but with the exception of periodic activation of an electronic shutter capable of diverting Iph from the integrator. This operation blocks the optical excitation pulses and reduces the natural autofluorescence background from biological media that typically have lifetimes <50 ns. The chip then accumulates and measures the fluorescence emissions at pre-programmed time intervals.
In this chip, the TGF pixels, the decimation arrays, bandgap temperature sensor, and reference voltage DACs are all operated and read by a single digital core block operating at 50 MHz and is accessible through a serial peripheral interface (SPI) port (
In
The decimation array has a dedicated bit cell for every pixel. The bit cell consists of a 32-bit incrementor, followed by a 32-bit adder, forming the two-stage accumulation unit (
The electrical and optical measurements for this biochip are reported in
In
In
This example shows how PCI-TGF pixels can be designed in applications where high-density biosensor pixels arrays are required, such as DNA SBS and DNA SBH systems. The example also shows how miniaturized PCI-TGF pixels can be incorporated into standard high-density image sensor arrays. As the example shows, PCI can be added into the circuitry of multi-million pixel CMOS image sensors that can have sub-micron pixel dimensions.
In
In
While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. It is not intended that the invention be limited by the specific examples provided within the specification. While the invention has been described with reference to the aforementioned specification, the descriptions and illustrations of the embodiments herein are not meant to be construed in a limiting sense. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. Furthermore, it shall be understood that all aspects of the invention are not limited to the specific depictions, configurations or relative proportions set forth herein which depend upon a variety of conditions and variables. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is therefore contemplated that the invention shall also cover any such alternatives, modifications, variations or equivalents. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.
This application is a continuation of International Application No. PCT/US2020/022830, filed Mar. 13, 2020, which claims the benefit of U.S. Provisional Patent Application No. 62/818,614, filed on Mar. 14, 2019, each of which is entirely incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4027971 | Kolman et al. | Jun 1977 | A |
4469863 | Ts et al. | Sep 1984 | A |
4539295 | Blough, Jr. | Sep 1985 | A |
4562157 | Lowe et al. | Dec 1985 | A |
4683195 | Mullis et al. | Jul 1987 | A |
4683202 | Mullis | Jul 1987 | A |
4711955 | Ward et al. | Dec 1987 | A |
4994373 | Stavrianopoulos et al. | Feb 1991 | A |
5034506 | Summerton et al. | Jul 1991 | A |
5082830 | Brakel et al. | Jan 1992 | A |
5130238 | Malek et al. | Jul 1992 | A |
5210015 | Gelfand et al. | May 1993 | A |
5216141 | Benner | Jun 1993 | A |
5235033 | Summerton et al. | Aug 1993 | A |
5270184 | Walker et al. | Dec 1993 | A |
5310652 | Gelfand et al. | May 1994 | A |
5322770 | Gelfand | Jun 1994 | A |
5323115 | Werner, Jr. | Jun 1994 | A |
5328824 | Ward et al. | Jul 1994 | A |
5333675 | Mullis et al. | Aug 1994 | A |
5386023 | Sanghvi et al. | Jan 1995 | A |
5399491 | Kacian et al. | Mar 1995 | A |
5407800 | Gelfand et al. | Apr 1995 | A |
5409818 | Davey et al. | Apr 1995 | A |
5449767 | Ward et al. | Sep 1995 | A |
5455166 | Walker | Oct 1995 | A |
5455705 | Gusinov | Oct 1995 | A |
5466348 | Holm-Kennedy | Nov 1995 | A |
5475610 | Atwood et al. | Dec 1995 | A |
5476928 | Ward et al. | Dec 1995 | A |
5480784 | Kacian et al. | Jan 1996 | A |
5487972 | Gelfand et al. | Jan 1996 | A |
5491063 | Fisher et al. | Feb 1996 | A |
5538848 | Livak et al. | Jul 1996 | A |
5571673 | Picone | Nov 1996 | A |
5573906 | Bannwarth et al. | Nov 1996 | A |
5599668 | Stimpson et al. | Feb 1997 | A |
5602240 | Mesmaeker et al. | Feb 1997 | A |
5627054 | Gillespie | May 1997 | A |
5632957 | Heller et al. | May 1997 | A |
5637684 | Cook et al. | Jun 1997 | A |
5644048 | Yau et al. | Jul 1997 | A |
5656493 | Mullis et al. | Aug 1997 | A |
5674698 | Zarling et al. | Oct 1997 | A |
5677152 | Birch et al. | Oct 1997 | A |
5723591 | Livak et al. | Mar 1998 | A |
5744305 | Fodor et al. | Apr 1998 | A |
5773258 | Birch et al. | Jun 1998 | A |
5789224 | Gelfand et al. | Aug 1998 | A |
5804375 | Gelfand et al. | Sep 1998 | A |
5807522 | Brown et al. | Sep 1998 | A |
5837501 | Beumer et al. | Nov 1998 | A |
5854033 | Lizardi | Dec 1998 | A |
5871928 | Fodor et al. | Feb 1999 | A |
5876930 | Livak et al. | Mar 1999 | A |
5919630 | Nadeau et al. | Jul 1999 | A |
5925519 | Jensen et al. | Jul 1999 | A |
5955351 | Gerdes et al. | Sep 1999 | A |
5974164 | Chee | Oct 1999 | A |
5994056 | Higuchi | Nov 1999 | A |
6025601 | Trulson et al. | Feb 2000 | A |
6030787 | Livak et al. | Feb 2000 | A |
6040193 | Winkler et al. | Mar 2000 | A |
6048690 | Heller et al. | Apr 2000 | A |
6054270 | Southern | Apr 2000 | A |
6083763 | Balch | Jul 2000 | A |
6103476 | Tyagi et al. | Aug 2000 | A |
6110426 | Shalon et al. | Aug 2000 | A |
6110749 | Obremski et al. | Aug 2000 | A |
6114122 | Besemer et al. | Sep 2000 | A |
6124102 | Fodor et al. | Sep 2000 | A |
6127155 | Gelfand et al. | Oct 2000 | A |
6153425 | Kozwich et al. | Nov 2000 | A |
6169981 | Werbos | Jan 2001 | B1 |
6171785 | Higuchi | Jan 2001 | B1 |
6174670 | Wittwer et al. | Jan 2001 | B1 |
6225625 | Pirrung et al. | May 2001 | B1 |
6251639 | Kurn | Jun 2001 | B1 |
6258569 | Livak et al. | Jul 2001 | B1 |
6261776 | Pirrung et al. | Jul 2001 | B1 |
6291166 | Gerdes et al. | Sep 2001 | B1 |
6291183 | Pirrung et al. | Sep 2001 | B1 |
6312906 | Cass et al. | Nov 2001 | B1 |
6319958 | Johnson et al. | Nov 2001 | B1 |
6327410 | Walt et al. | Dec 2001 | B1 |
6330092 | Aronson | Dec 2001 | B1 |
6365729 | Tyagi et al. | Apr 2002 | B1 |
6391550 | Lockhart et al. | May 2002 | B1 |
6403341 | Barnes et al. | Jun 2002 | B1 |
6406848 | Bridgham et al. | Jun 2002 | B1 |
6410278 | Notomi et al. | Jun 2002 | B1 |
6428957 | Delenstarr | Aug 2002 | B1 |
6432695 | Zou et al. | Aug 2002 | B1 |
6465175 | Horn et al. | Oct 2002 | B2 |
6469524 | Oberdier | Oct 2002 | B1 |
6472887 | Tullis et al. | Oct 2002 | B1 |
6516276 | Ghandour et al. | Feb 2003 | B1 |
6593091 | Keys et al. | Jul 2003 | B2 |
6600996 | Webster et al. | Jul 2003 | B2 |
6610482 | Fodor et al. | Aug 2003 | B1 |
6649378 | Kozwich et al. | Nov 2003 | B1 |
6673536 | Stoughton et al. | Jan 2004 | B1 |
6713297 | McMillan et al. | Mar 2004 | B2 |
6724324 | Lambert | Apr 2004 | B1 |
6743581 | Vo-Dinh | Jun 2004 | B1 |
6744502 | Hoff et al. | Jun 2004 | B2 |
6750963 | Sampas | Jun 2004 | B2 |
6783934 | McMillan et al. | Aug 2004 | B1 |
6806052 | Bridgham et al. | Oct 2004 | B2 |
6814934 | Higuchi | Nov 2004 | B1 |
6828100 | Ronaghi | Dec 2004 | B1 |
6859570 | Walt et al. | Feb 2005 | B2 |
6859750 | Frazier | Feb 2005 | B1 |
6872527 | Gerdes et al. | Mar 2005 | B2 |
6911327 | McMillan et al. | Jun 2005 | B2 |
6942971 | McMillan et al. | Sep 2005 | B2 |
6946251 | Kurn | Sep 2005 | B2 |
6953958 | Baxter et al. | Oct 2005 | B2 |
6969488 | Bridgham et al. | Nov 2005 | B2 |
7060431 | Chee et al. | Jun 2006 | B2 |
7064197 | Rabbani et al. | Jun 2006 | B1 |
7087387 | Gerdes et al. | Aug 2006 | B2 |
7122355 | Ankenbauer et al. | Oct 2006 | B2 |
7145645 | Blumenfeld et al. | Dec 2006 | B2 |
7223540 | Pourmand et al. | May 2007 | B2 |
7291496 | Holm-Kennedy | Nov 2007 | B2 |
7307802 | Unger | Dec 2007 | B2 |
7317216 | Holm-Kennedy | Jan 2008 | B2 |
7323305 | Leamon et al. | Jan 2008 | B2 |
7348141 | French et al. | Mar 2008 | B2 |
7361472 | Yguerabide et al. | Apr 2008 | B2 |
7463353 | Yershov | Dec 2008 | B2 |
7504832 | Kandori et al. | Mar 2009 | B2 |
7588672 | Unger et al. | Sep 2009 | B2 |
7599060 | Hoshizaki et al. | Oct 2009 | B2 |
7622294 | Walt et al. | Nov 2009 | B2 |
7630227 | Tran | Dec 2009 | B2 |
7649358 | Toumazou et al. | Jan 2010 | B2 |
7686929 | Toumazou et al. | Mar 2010 | B2 |
7687260 | Gutekunst | Mar 2010 | B2 |
7738086 | Shepard et al. | Jun 2010 | B2 |
7785776 | Wittwer et al. | Aug 2010 | B2 |
7785785 | Pourmand et al. | Aug 2010 | B2 |
7824890 | Hoser et al. | Nov 2010 | B2 |
7835871 | Kain et al. | Nov 2010 | B2 |
7842457 | Berka et al. | Nov 2010 | B2 |
7884398 | Levon et al. | Feb 2011 | B2 |
7888013 | Miyahara et al. | Feb 2011 | B2 |
7888015 | Toumazou et al. | Feb 2011 | B2 |
7906072 | Unger et al. | Mar 2011 | B2 |
7914981 | Barany et al. | Mar 2011 | B2 |
7932034 | Esfandyarpour et al. | Apr 2011 | B2 |
7948015 | Rothberg et al. | May 2011 | B2 |
7995679 | Ranganathan et al. | Aug 2011 | B2 |
7998673 | French et al. | Aug 2011 | B2 |
8012756 | Pourmand et al. | Sep 2011 | B2 |
8048626 | Hassibi et al. | Nov 2011 | B2 |
8119345 | Weusten et al. | Feb 2012 | B2 |
8158359 | Leamon et al. | Apr 2012 | B2 |
8306757 | Rothberg et al. | Nov 2012 | B2 |
8313907 | Pourmand et al. | Nov 2012 | B2 |
8517329 | Nash et al. | Aug 2013 | B2 |
8518329 | Hassibi et al. | Aug 2013 | B2 |
8637436 | Hassibi et al. | Jan 2014 | B2 |
8735067 | Zhang et al. | May 2014 | B2 |
8790876 | Leamon et al. | Jul 2014 | B2 |
8969781 | Hassibi et al. | Mar 2015 | B2 |
8999724 | Holt et al. | Apr 2015 | B2 |
9040237 | Koo et al. | May 2015 | B2 |
9133504 | Hassibi et al. | Sep 2015 | B2 |
9223929 | Hassibi et al. | Dec 2015 | B2 |
9341589 | Hassibi et al. | May 2016 | B2 |
9377388 | Walt et al. | Jun 2016 | B2 |
9458497 | Hassibi et al. | Oct 2016 | B2 |
9465002 | Hassibi et al. | Oct 2016 | B2 |
9499861 | Hassibi et al. | Nov 2016 | B1 |
9708647 | Hassibi et al. | Jul 2017 | B2 |
9983163 | Hassibi et al. | May 2018 | B2 |
10174367 | Hassibi et al. | Jan 2019 | B2 |
10501778 | Hassibi et al. | Dec 2019 | B2 |
20010030290 | Stern | Oct 2001 | A1 |
20010046673 | French et al. | Nov 2001 | A1 |
20020001844 | Frutos et al. | Jan 2002 | A1 |
20020006619 | Cohen et al. | Jan 2002 | A1 |
20020034746 | McMillan et al. | Mar 2002 | A1 |
20020102567 | Fodor et al. | Aug 2002 | A1 |
20020106653 | Kurane et al. | Aug 2002 | A1 |
20020119462 | Mendrick et al. | Aug 2002 | A1 |
20020123048 | Gau | Sep 2002 | A1 |
20020131899 | Kovacs | Sep 2002 | A1 |
20020146745 | Natan et al. | Oct 2002 | A1 |
20020150917 | Weidenhammer et al. | Oct 2002 | A1 |
20020177157 | Luo et al. | Nov 2002 | A1 |
20020187477 | Xue et al. | Dec 2002 | A1 |
20030040000 | Connolly et al. | Feb 2003 | A1 |
20030071843 | Hoff et al. | Apr 2003 | A1 |
20030130973 | Sumner et al. | Jul 2003 | A1 |
20030143591 | Davies et al. | Jul 2003 | A1 |
20030157581 | Grill et al. | Aug 2003 | A1 |
20030186310 | Kincaid | Oct 2003 | A1 |
20030194726 | Bolchakova et al. | Oct 2003 | A1 |
20030225718 | Shmulevich et al. | Dec 2003 | A1 |
20040002073 | Li et al. | Jan 2004 | A1 |
20040005582 | Shipwash | Jan 2004 | A1 |
20040038420 | Gelbart et al. | Feb 2004 | A1 |
20040053254 | Wangh et al. | Mar 2004 | A1 |
20040058378 | Kong et al. | Mar 2004 | A1 |
20040077648 | Timmer et al. | Apr 2004 | A1 |
20040080629 | Sato et al. | Apr 2004 | A1 |
20040081974 | Gao | Apr 2004 | A1 |
20040086864 | Lo et al. | May 2004 | A1 |
20040087033 | Schembri | May 2004 | A1 |
20040091862 | Brandenburg et al. | May 2004 | A1 |
20040096819 | McMillan et al. | May 2004 | A1 |
20040110219 | Buchholz et al. | Jun 2004 | A1 |
20040147045 | Nelson | Jul 2004 | A1 |
20040208792 | Linton et al. | Oct 2004 | A1 |
20040265902 | Fricker et al. | Dec 2004 | A1 |
20050003355 | Lu et al. | Jan 2005 | A1 |
20050064452 | Schmid et al. | Mar 2005 | A1 |
20050065290 | Shah | Mar 2005 | A1 |
20050084881 | Kelley et al. | Apr 2005 | A1 |
20050084884 | Palombella et al. | Apr 2005 | A1 |
20050089924 | Ho et al. | Apr 2005 | A1 |
20050112585 | Zichi et al. | May 2005 | A1 |
20050112634 | Woudenberg et al. | May 2005 | A1 |
20050161192 | Shigeura et al. | Jul 2005 | A1 |
20050202470 | Sundberg et al. | Sep 2005 | A1 |
20050238123 | Ranganathan et al. | Oct 2005 | A1 |
20050255516 | McMillan et al. | Nov 2005 | A1 |
20060014151 | Ogura et al. | Jan 2006 | A1 |
20060014200 | McMillan et al. | Jan 2006 | A1 |
20060024707 | Deans et al. | Feb 2006 | A1 |
20060051788 | Suzuki et al. | Mar 2006 | A1 |
20060068378 | Mirkin et al. | Mar 2006 | A1 |
20060078929 | Bickel et al. | Apr 2006 | A1 |
20060084069 | Chan et al. | Apr 2006 | A1 |
20060088844 | Xu | Apr 2006 | A1 |
20060094108 | Yoder et al. | May 2006 | A1 |
20060123516 | Ronen et al. | Jun 2006 | A1 |
20060208254 | Goodman et al. | Sep 2006 | A1 |
20060269922 | Sagner et al. | Nov 2006 | A1 |
20060269934 | Woudenberg et al. | Nov 2006 | A1 |
20070010664 | Thomas et al. | Jan 2007 | A1 |
20070026421 | Sundberg et al. | Feb 2007 | A1 |
20070057159 | Hing | Mar 2007 | A1 |
20070065818 | Foti et al. | Mar 2007 | A1 |
20070077609 | Gambhir et al. | Apr 2007 | A1 |
20070099198 | Hassibi et al. | May 2007 | A1 |
20070212681 | Shapiro et al. | Sep 2007 | A1 |
20070218610 | Lim et al. | Sep 2007 | A1 |
20070279631 | Yershov | Dec 2007 | A1 |
20080027008 | Henkin | Jan 2008 | A1 |
20080037008 | Shepard et al. | Feb 2008 | A1 |
20080039339 | Hassibi et al. | Feb 2008 | A1 |
20080081769 | Hassibi | Apr 2008 | A1 |
20080085839 | Klapproth | Apr 2008 | A1 |
20080176757 | Hassibi et al. | Jul 2008 | A1 |
20080305481 | Whitman et al. | Dec 2008 | A1 |
20090062134 | Linton et al. | Mar 2009 | A1 |
20090062152 | Linton et al. | Mar 2009 | A1 |
20090079414 | Levon et al. | Mar 2009 | A1 |
20090111207 | Choumane et al. | Apr 2009 | A1 |
20090137418 | Miller et al. | May 2009 | A1 |
20090143233 | Knight et al. | Jun 2009 | A1 |
20090143237 | Stender et al. | Jun 2009 | A1 |
20090156415 | Remacle et al. | Jun 2009 | A1 |
20090156425 | Walt et al. | Jun 2009 | A1 |
20090170728 | Walt et al. | Jul 2009 | A1 |
20090221025 | Huebner et al. | Sep 2009 | A1 |
20090318306 | Hasson et al. | Dec 2009 | A1 |
20090318307 | Garcia | Dec 2009 | A1 |
20090325164 | Vossenaar et al. | Dec 2009 | A1 |
20090325184 | Woudenberg et al. | Dec 2009 | A1 |
20100003715 | Pellegrino | Jan 2010 | A1 |
20100041030 | Hartwich | Feb 2010 | A1 |
20100105033 | Sun et al. | Apr 2010 | A1 |
20100122904 | Hassibi et al. | May 2010 | A1 |
20100129871 | Liu et al. | May 2010 | A1 |
20100137166 | Kain et al. | Jun 2010 | A1 |
20100138162 | Kain et al. | Jun 2010 | A1 |
20100233680 | Taylor et al. | Sep 2010 | A1 |
20100240544 | Liu et al. | Sep 2010 | A1 |
20100300899 | Levine et al. | Dec 2010 | A1 |
20100330578 | Duhr et al. | Dec 2010 | A1 |
20110009278 | Kain et al. | Jan 2011 | A1 |
20110009296 | Kain et al. | Jan 2011 | A1 |
20110086361 | Klunder et al. | Apr 2011 | A1 |
20110092692 | Jiang | Apr 2011 | A1 |
20110111968 | Okura et al. | May 2011 | A1 |
20110213252 | Fulghum | Sep 2011 | A1 |
20110236983 | Beechem et al. | Sep 2011 | A1 |
20110312810 | Moini et al. | Dec 2011 | A1 |
20120040853 | Pierik et al. | Feb 2012 | A1 |
20120052563 | Liang et al. | Mar 2012 | A1 |
20120077692 | Hassibi et al. | Mar 2012 | A1 |
20120088682 | Rothberg et al. | Apr 2012 | A1 |
20120094298 | Seul et al. | Apr 2012 | A1 |
20120115214 | Battrell et al. | May 2012 | A1 |
20120164652 | Clemens et al. | Jun 2012 | A1 |
20120168306 | Hassibi et al. | Jul 2012 | A1 |
20120295805 | Levicky et al. | Nov 2012 | A1 |
20130210656 | Wangh et al. | Aug 2013 | A1 |
20130225441 | Hassibi | Aug 2013 | A1 |
20130252827 | Chun | Sep 2013 | A1 |
20130345065 | Hassibi et al. | Dec 2013 | A1 |
20140001341 | Hassibi et al. | Jan 2014 | A1 |
20140162266 | Klitgord et al. | Jun 2014 | A1 |
20140272978 | Shi et al. | Sep 2014 | A1 |
20140287420 | Cadle-Davidson | Sep 2014 | A1 |
20140287428 | Sietze | Sep 2014 | A1 |
20140363821 | Bashir et al. | Dec 2014 | A1 |
20150093849 | Shepard et al. | Apr 2015 | A1 |
20150125855 | Li et al. | May 2015 | A1 |
20160160271 | Hassibi et al. | Jun 2016 | A1 |
20160231270 | Hassibi et al. | Aug 2016 | A1 |
20170081714 | Hassibi et al. | Mar 2017 | A1 |
20170362648 | Hassibi et al. | Dec 2017 | A1 |
20180251828 | Hassibi et al. | Sep 2018 | A1 |
20180251829 | Hassibi et al. | Sep 2018 | A1 |
20180335399 | Hassibi et al. | Nov 2018 | A1 |
20190062819 | Hassibi | Feb 2019 | A1 |
20190323070 | Hassibi et al. | Oct 2019 | A1 |
Number | Date | Country |
---|---|---|
1250483 | Apr 2000 | CN |
1993617 | Jul 2007 | CN |
0684315 | Nov 1995 | EP |
0236069 | May 1997 | EP |
0872562 | Oct 1998 | EP |
1608952 | Dec 2005 | EP |
1681557 | Jul 2006 | EP |
1754257 | Feb 2007 | EP |
1924681 | May 2008 | EP |
2126765 | Dec 2009 | EP |
2374902 | Oct 2011 | EP |
2489745 | Aug 2012 | EP |
2029775 | Oct 2014 | EP |
WO-0079009 | Dec 2000 | WO |
WO-0121838 | Mar 2001 | WO |
WO-0186001 | Nov 2001 | WO |
WO-0079009 | Jan 2002 | WO |
WO-0230946 | Apr 2002 | WO |
WO-02099397 | Dec 2002 | WO |
WO-03062791 | Jul 2003 | WO |
WO-2004011144 | Feb 2004 | WO |
WO-03062791 | Jun 2004 | WO |
WO-2004059006 | Jul 2004 | WO |
WO-2005118870 | Dec 2005 | WO |
WO-2005121159 | Dec 2005 | WO |
WO-2006014351 | Feb 2006 | WO |
WO-2006037527 | Apr 2006 | WO |
WO-2006053769 | May 2006 | WO |
WO-2007045755 | Apr 2007 | WO |
WO-2007133703 | Nov 2007 | WO |
WO-2007143669 | Dec 2007 | WO |
WO-2008014485 | Jan 2008 | WO |
WO-2008082713 | Jul 2008 | WO |
WO-2008142571 | Nov 2008 | WO |
WO-2008143646 | Nov 2008 | WO |
WO-2009021054 | Feb 2009 | WO |
WO-2009082706 | Jul 2009 | WO |
WO-2009158451 | Dec 2009 | WO |
WO-2011066186 | Jun 2011 | WO |
WO-2013081987 | Jun 2013 | WO |
WO-2013152203 | Oct 2013 | WO |
WO-2016154227 | Sep 2016 | WO |
WO-2017044100 | Mar 2017 | WO |
WO-2017155858 | Sep 2017 | WO |
WO-2018050501 | Mar 2018 | WO |
WO-2020186252 | Sep 2020 | WO |
Entry |
---|
Seo, Min-Woong, et al. “A 10 ps time-resolution CMOS image sensor with two-tap true-CDS lock-in pixels for fluorescence lifetime imaging.” IEEE Journal of Solid-State Circuits 51.1 (2015): 141-154. (Year: 2016). |
Potrich, Cristina, et al. “On chip micro-extraction and real-time PCR with integrated SPAD optical fluorescence detection for nucleic acid analysis.” Lab-on-a-Chip European Congress. 2011. (Year: 2011). |
Huang, Xiwei, et al. “A single-frame superresolution algorithm for lab-on-a-chip lensless microfluidic imaging.” IEEE Design & Test 32.6 (2015): 32-40. (Year: 2015). |
A. Hassibi et al., 2018. Multiplexed identification, quantification and genotyping of infectious agents using a semiconductor biochip. Nature biotechnology, 36(8), p. 738. |
Brodsky, et al. Identification and handling of artifactual gene expression profiles emerging in microarray hybridization experiments. Nucleic Acids Res. Mar. 3, 2004;32(4):e46. |
Brown, et al. Exploring the new world of the genome with DNA microarrays. Nature Genet. 1999; 21 (Suppl.):33-37. |
Cady, et al. Real-time PCR detection of Listeria monocytogenes using an integrated microfluidics platform. Sensors and Actuators B: Chemical. 2005; 107: 332-341. |
Canon. High resolution thermal melt analysis. http://culs.canon.com/Science/Technology_Overview/High_Resolution_thermal_melt_analysis/High_Resolution_Thermal_Melt_Analysis.shtml. Accessed on Jun. 10, 2015. 1 pg. |
Co-pending U.S. Appl. No. 16/191,836, filed Nov. 15, 2018. |
Cronin, et al. Cystic fibrosis mutation detection by hybridization to light-generated DNA probe arrays. Hum Mutat. 1996;7(3):244-55. |
Didenko. DNA probes using fluorescence resonance energy transfer (FRET): designs and applications. Biotechniques. Nov. 2001;31(5):1106-16, 1118, 1120-1. |
Dolganov, et al. Novel molecular diagnostic (MDx) Platform for Highly-Multiplex Drug Susceptibility Testing of M. tuberculosis. http://www.stoptb.org/wg/new_diagnostics/assets/documents/09-NDWG-Annual-Meeting_GarySCHOOLNIK_&_Gregory_DOLGANOV.pdf. Accessed on Jun. 10, 2015. 13 pgs. |
El Gamal, A., Dec. 2002. Trends in CMOS image sensor technology and design. In Digest. International Electron Devices Meeting, (pp. 805-808). IEEE. |
El Gamal, et al. CMOS image sensors. Circuits and Devices Magazine, IEEE. 2005; 20(3):6-20. |
FDA. Response to Section 501(k) Premarket Notification of Intent to Market. Re: K143178. Dated Jan. 30, 2015. 9 pages. |
Field, R.M., Realov, S. and Shepard, K.L., 2014. A 100 fps, time-correlated single-photon-counting-based fluorescence-lifetime imager in 130 nm CMOS. IEEE Journal of Solid-State Circuits, 49(4), pp. 867-880. |
Fossum, E.R. and Hondongwa, D.B., 2014. A review of the pinned photodiode for CCD and CMOS image sensors. IEEE J. Electron Devices Soc., 2(3), pp. 33-43. |
Ginzinger. Gene quantification using real-time quantitative PCR: an emerging technology hits the mainstream. Exp Hematol. 2002; 30(6): 503-12. |
Giordano, et al. Distinct transcriptional profiles of adrenocortical tumors uncovered by DNA microarray analysis. Am J Pathol. 2003; 162(2):521-531. |
Hagan, A. K., & Zuchner, T. (2011). Lanthanide-based time-resolved luminescence immunoassays. Analytical and bioanalytical chemistry, 400(9), 2847-64. |
Hassibi. CMOS Biochips for Point-of-Care Molecular Diagnostics. Hot Chips—Aug. 2014. 32 pgs. |
Hassibi, et al. Real-time DNA microarray analysis. Nucleic Acids Res. Nov. 2009;37(20):e132. Epub Aug. 31, 2009. |
Held, et al. Modeling of DNA microarray data by using physical properties of hybridization. Proc Natl Acad Sci U S A. Jun. 24, 2003;100(13):7575-80. Epub Jun. 13, 2003. |
IDT—Integrated DNA Technologies. Strategies for Attaching Oligonucleotides to Solid Supports. Copyright 2014 (v3). Aug. 10, 2011. 7pages. |
“Insulator (eletricity)” from Wikipedia, the free encyclopedia. Printed on Dec. 13, 2018. |
Khabzaoui, et al. A multicriteria genetic algorithm to analyze microarray data. In Evolutionary Computation, Jun. 2004. CEC2004. Congress on vol. 2, pp. 1874-1881. IEEE. |
Lalkhen, et al. Clinical tests: sensitivity and specificity. Continuing Education in Anaesthesia, Critical Care & Pain. 2008. 8(6), 221-223. |
Lee, et al. Seven-color, homogeneous detection of six PCR products. Biotechniques. Aug. 1999;27(2):342-9. |
Levine et al. Active CMOS Array for Electrochemical Sensing of Biomolecules, IEEE 2007 Custom Integrated Circuits Conference(CICC), pp. 826-828 (2007). |
Li, et al. Bead-Based Melting Analysis In Temperature-Graident Microchannels For Single Nucleotide Polymorphisms Detection. 17th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Oct. 27-31, 2013. Freiburg, Germany. 3 pages. |
Liu, et al. TaqMan probe array for quantitative detection of DNA targets. Nucleic Acids Res. 2006; 34(1): e4. Published online Jan. 10, 2006. . |
Manickam, et al. A CMOS Electrochemical Impedance Spectroscopy (EIS) Biosensor Array. IEEE Trans Biomed Circuits Syst. Dec. 2010;4(6):379-90. . |
Manickam, et al., A Fully Integrated CMOS Fluorescence Biochip for DNA and RNA Testing. IEEE Journal of solid-state circuits, Nov. 2017; 52(11): 2857-2870. |
Marcy, et al. Innovative integrated system for real-time measurement of hybridization and melting on standard format microarrays. Biotechniques. Jun. 2008;44(7):913-20. . |
Matsubara, et al. On-chip nanoliter-volume multiplex TaqMan polymerase chain reaction from a single copy based on counting fluorescence released microchambers. Anal Chem. Nov. 1, 2004;76(21):6434-9. |
Metzker, M.L., 2010. Sequencing technologies—the next generation. Nature reviews. Genetics, 11(1), p. 31. |
Metzker. Sequencing technologies—the next generation. Nat Rev Genet. Jan. 2010;11(1):31-46. Epub Dec. 8, 2009. |
Meuzelaar, et al. DNA diagnostics by surface-bound melt-curve reactions. J Mol Diagn. Feb. 2007;9(1):30-41. |
Michael, et al. Randomly Ordered Addressable High-Density Optical Sensor Arrays. Anal. Chem., 1998; 70(7): 1242-1248. |
Moore, E.G., Samuel, A.P. and Raymond, K.N., 2009. From antenna to assay: lessons learned in lanthanide luminescence. Accounts of chemical research, 42(4), pp. 542-552. |
Murari, K., Etienne-Cummings, R., Thakor, N. and Cauwenberghs, G., 2009. Which photodiode to use: A comparison of CMOS-compatible structures. IEEE sensors journal, 9(7), pp. 752-760. |
Namasivayam et al., Advances in on-chip photodetection for applications in miniaturized genetic analysis systems, Journal ofv Micrornechanics and Microengineering vol. 14, issue 1, p. 81-90, Published Aug. 18, 2003. |
Pierik, et al. Rapid genotyping of human papillomavirus by post-PCR array-based hybridization techniques. J Clin Microbiol. Apr. 2011;49(4):1395-402. Epub Feb. 16, 2011. |
Pont-Kindon, et al. Direct molecular haplotyping by melting curve analysis of hybridization probes: beta 2-adrenergic receptor haplotypes as an example. Nucleic Acids Res. Jun. 3, 2005;33(10):e89. |
Pourmand, et al. Direct electrical detection of DNA synthesis. Proc Natl Acad Sci U S A. Apr. 25, 2006;103(17):6466-70. Epub Apr. 13, 2006. |
Rant, et al. Switchable DNA interfaces for the highly sensitive detection of label-free DNA targets. Proc Natl Acad Sci U S A. Oct. 30, 2007;104(44):17364-9. Epub Oct. 19, 2007. |
Reed, et al. High-resolution DNA melting analysis for simple and efficient molecular diagnostics. Pharmacogenomics. Jun. 2007;8(6):597-608. |
Rothe, et al. Multi-target electrochemical biosensing enabled by integrated CMOS electronics. Journal of Micromechanics and Microengineering, 2011, 21(5), 054010. |
Sanchez, et al. Linear-after-the-exponential (LATE)-PCR: an advanced method of asymmetric PCR and its uses in quantitative real-time analysis. Proc Natl Acad Sci U S A. Feb. 17, 2004;101(7):1933-8. Epub Feb. 9, 2004. |
Schwartz, D.E., Charbon, E. and Shepard, K.L., 2008. A single-photon avalanche diode array for fluorescence lifetime imaging microscopy. IEEE journal of solid-state circuits, 43(11), pp. 2546-2557. |
Selvin, P.R., 2002. Principles and biophysical applications of lanthanide-based probes. Annual review of biophysics and biomolecular structure, 31(1), pp. 275-302. |
Selvin, P.R., “Lanthanide-Labeled DNA”, (2003) Topics in Fluorescence Spectroscopy, vol. 7: DNA Technology, Chapter 6, Kluwer Academic. |
Singh, et al. A CMOS-Microfluidic Chemiluminescence Contact Imaging Microsystem. IEEE Journal of Solid-State Circuits. Nov. 2012;47(11) 2822-33. |
Singh et al. A Compact Parasitic-Insensitive Dual-Frequency ΔΣ Modulated CMOS Capacitive Architecture, IEEE, pp. 242-245 (2010). |
Singh. High Dynamic Range CMOS-Integrated Biosensors. https://repositories.lib.utexas.edu/bitstream/handle/2152/29144/SINGH-DISSERTATION-2013.pdf?sequence=1. May 1, 2013. Accessed on Feb. 11, 2016. 189 pages. |
Soon, et al. High Throughput Melting Curve Analysis In Monolithic Silicon-Based Microfluidic Device. 14th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Oct. 3-7, 2010. Groningen, The Netherlands. |
Sosnowski. A chip-based genetic detector for rapid identification of individuals. Document No. 213911. Award No. 1997-LB-XV-0004. Apr. 2006. 100 pages. |
Stochastic Matrix, one page, 2013. Wolfram MathWorld. Obtained online on May 29, 2013. |
Tang, et al. Simple and effective method for generating single-stranded DNA targets and probes. Biotechniques. Jun. 2006;40(6):759-63. |
Temiz et al. Robust Microelectrodes Developed for Improved Stability in Electrochemical Characterization of Biomolecular Layers, IEEE Sensors 2010 Conference, pp. 1051-1055 (2010). |
Tokuda et al., A CMOS image sensor with optical and potential dual imaging function for on-chip bioscientific applications, Sensors and Actuators A: Physical, vol. 125, Issue 2, Jan. 10, 2006, pp. 273-280. |
Tomlinson, et al. Influence of the length of target DNA overhang proximal to the array surface on discrimination of single-base mismatches on a 25-mer oligonucleotide array. BMC Res Notes. Apr. 17, 2014;7:251. . |
Vikalo, et al. A statistical model for microarrays, optimal estimation algorithms, and limits of performance. Signal Processing, IEEE Transactions on, 2006, 54(6), 2444-2455. |
Vikalo, et al. Optimal estimation of gene expression levels in microarrays. Presented at the IEEE Int. Workshop Genomic Signal Processing Statistics, Newport, RI, May 22-24, 2005. |
Vikalo, et al. Proof of publication date of [Vikalo, et al. Optimal estimation of gene expression in microarrays.] as Mar. 5, 2005, one page, acquired from USPTO Library on Jun. 13, 2014. |
Wilhelm, et al., Real-time polymerase chain reaction. Chembiochem, 2003;4:1120-1128. |
Yuan, J. and Wang, G., 2006. Lanthanide-based luminescence probes and time-resolved luminescence bioassays. TrAC Trends in Analytical Chemistry, 25(5), pp. 490-500. |
Yuen, et al. Accuracy and calibration of commercial oligonucleotide and custom cDNA microarrays. Nucleic Acids Res. May 15, 2002;30(10):e48. |
Zhang. Noisy Data with Outliers, one page, 1996. Obtained online on Feb. 9, 2013. |
Zhu, et al. Multiplex asymmetric PCR-based oligonucleotide microarray for detection of drug resistance genes containing single mutations in Enterobacteriaceae. Antimicrob Agents Chemother. Oct. 2007;51(10):3707-13. Epub Jul. 23, 2007. |
A. Agah, et al., A High-Resolution Low-Power Incremental Lb. ADC With Extended Range for Biosensor Arrays, IEEE Journal of Solid-State Circuits, vol. 45, No. 6, pp. 1099-1110 (2010) (Year: 2010). |
Ansevin, et al. High-resolution thermal denaturation of DNA. I. Theoretical and practical considerations for the resolution of thermal subtransitions. Biopolymers. Jan. 1976;15(1):153-74. |
Ausubel, et al. Current Protocols in Molecular Biology. Greene Publishing Associates and Wiley-Interscience. John Wiley & Sons. New York. 1987. (Table of Contents). |
Beaucage, et al. The functionalization of oligonucleotides via phosphoramidite derivative. Tetrahedron. 1993;49(10):1925-63. |
Brill et al. Synthesis of oligodeoxynucleoside phosphorodithioates via thioamidites. J. Am. Chem. Soc. 111:2321-2322 (1989). |
C. Y. Huang, Design of a voltammetry potentiostat for biochemical sensors, Analog Integr. Cir. Sig. Process, vol. 67, pp. 375-381 (2011) (Year: 2011). |
Campbell, et al. Large-scale approaches for glycobiology. Genome Biology. 2005; 6(11):236.1-8. |
Carlsson et al. Screening for genetic mutations. Nature 380(6571):207 (1996). |
Clegg. Fluorescence resonance energy transfer and nucleic acids. Methods Enzymol. 1992;211:353-88. |
Co-pending U.S. Appl. No. 16/670,126, inventors Hassibiarjang et al., filed Oct. 31, 2019. |
Co-pending U.S. Appl. No. 16/777,051, inventors Hassibiarjang et al., filed Jan. 30, 2020. |
De Mesmaeker et al. Comparison of Rigid and Flexible Backbones in Antisense Oligonucleotides Bioorg Med Chem Lett 4(3):395-398 (1994). |
Dempcy et al. Synthesis of a thymidyl pentamer of deoxyribonucleic guanidine and binding studies with DNA homopolynucleotides PNAS USa 92:6097-6101 (1995). |
Diehl et al. BEAMing: single-molecule PCR on microparticles in water-in-oil emulsions. Nature Methods 3(7):551-559 (2006). |
Dowling, et al. Exponential parameter estimation in the presence of known components and noise. Antennas and Propagation, IEEE Trans. On Antennas and Propag, 1994, 42(5), 590-599. |
Eckstein. Oligonucleotides and Analogues: A Practical Approach. Press at Oxford University Press, 1991: 313. |
Eltoukhy, et al. A 0.18-um CMOS bioluminescence detection lab-on-chip. Solid-State Circuits, IEEE Journal of: Mar. 2006; 41(3):651-662. |
Falconnet, et al. Rapid, sensitive and real-time multiplexing platform for the analysis of protein and nucleic-acid biomarkers. Anal Chem. Feb. 3, 2015;87(3):1582-9. Epub Jan. 21, 2015. |
Feng, L. Probing lipid-protein interactions using lipid microarrays. Prostaglandins Other Lipid Mediat. 2005; 77(1-4):158-67. |
Forster. Experimentelle und theoretische Untersuchung des zwischenmolekularen Übergangs von Elektronenanregungsenergie. Zeitschrift für naturforschung A 4.5 1949: 321-327. |
Foss et al. Effects of fixative and fixation time on the extraction and polymerase chain reaction amplification of RNA from paraffin-embedded tissue. Comparison of two housekeeping gene mRNA controls. Diagn Mol Path 3:148-155 (1994). |
Gao et al. Unusual conformation of a 3′-thioformacetal linkage in a DNA duplex. J. Biomolecular NMR.34:17-34 (1994). |
Guatelli et al. Isothermal, in vitro amplification of nucleic acids by a multienzyme reaction modeled after retroviral replication. PNAS USA 87(5):1874-1878 (1990). |
Gunderson, et al.—Decoding Randomly Ordered DNA Arrays. Genome Res. 14:870-877, 2004. |
Hall. Biosensors. Prentice-Hall. Englewood Cliffs, NJ. 1991. (Table of Contents only). |
Han, et al., Quantum-dot-tagged microbeads for multiplexed optical coding of biomolecules. Nature Biotechnology 19.99 (Jul. 2001): 631-635. |
Hassibi, et al. A probabilistic model for inherent noise and systematic errors of microarrays. Proc of Workshop on Genomics Signal Processing and Statistics. 2005: 1-2. |
Hassibi, et al. A Programmable 0.18-um CMOS Electrochemical Sensor Microarray for Biomolecular Detection. Sensors Journal, IEEE,Dec. 2006. vol. 6, Issue: 6: 1380-1388. |
Hassibi, et al. A stochastic model and simulation algorithm for polymerase chain reaction (PCR) systems. Proc of Workshop on Genomics Signal Processing and Statistics. 2004: 1-4. |
Hassibi, et al. Biological shot-noise and quantum-limited signal-to-noise ratio in affinity-based biosensors. J Appl Phys. 2005; 97: 084701.1-10. |
Hassibi, et al. Effects of Scaling on the SNR and Speed of Biosensors. Engineering in Medicine and Biology Society, 2004. IEMBS'04. 26th Annual International Conference of the IEEE. vol. 1. IEEE, 2004. |
Hassibi, et al. On noise processes and limits of performance in biosensors.J. Appl. Phys. 102, 014909 (2007) (12 pages). |
Hassibi. Integrated Microarrays. Ph.D. Thesis Stanford University, 2005 (142 pgs).. |
Held, et al. Relationship between gene expression and observed intensities in DNA microarrays—a modeling study. Nucleic Acids Res. May 24, 2006;34(9):e70. |
Horn et al. Oligonucleotides with alternating anionic and cationic phosphoramidate linkages: Synthesis and hybridization of stereo-uniform isomers. Tetrahedron Lett 37:743-746 (1996). |
Howell, et al. iFRET: an improved fluorescence system for DNA-melting analysis. Genome Res. Sep. 2002;12(9):1401-7. |
Jenkins et al. The Biosynthesis of Carbocyclic Nucleosides Chem Soc Re 24:169-176 (1995). |
Jepsen, et al. Locked nucleic acid: a potent nucleic acid analog in therapeutics and biotechnology. Oligonucleotides. 2004;14(2):130-46. |
Kiedrowski, et al. Parabolic growth of a self-replicating hexadeoxynucleotide bearing a 3′-5′-phosphoamidate linkage. Angew. Chem. Intl. Ed. English 1991;30:423-426. |
Lai et al. PrimRglo: A multiplexable quantitative real-time polymerase chain reaction system for nucleic acid detection. Analytical Biochemistry 422:89-95 (2012). |
Landegren. Molecular mechanics of nucleic acid sequence amplification. Trends in Genetics, 1993, 9(6), 199-204. |
Lee, et al. Nucleic acid amplification technologies: Application to disease diagnosis. Springer Science & Business Media, 1997. |
Letsinger et al. Cationic Oligonucleotides J Am Chem Soc 110:4470-4471 (1988). |
Letsinger, et al. Hybridization of alternating cationic/anionic oligonucleotides to RNA segments. Nucleosides, Nucleotides & Nucleic Acids 13.6-7 (1994): 1597-1605. |
Lipsky, et al. DNA melting analysis for detection of single nucleotide polymorphisms. Clin Chem. Apr. 2001;47(4):635-44. |
Liu, et al., Biosensing based upon molecular confinement in metallic nanocavity arrays. Proceedins of SPIE 5703. Plasmonics in biology and medicine II, Mar. 31, 2005, pp. 99-106. |
Lizardi, et al. Exponential amplification of recombinant-RNA hybridization probes. Nature Biotechnology 6.10 (1988): 1197-1202. |
Lockhart, et al. Multiplex metallica. Nat Biotechnol. Dec. 2001;19(12):1122-3. |
Lund-Olesen, et al., Sensitive on-chip quantitative real-time PCR performed on an adaptable and robust platform. Biomed Microdevices. Dec. 2008;10(6):769-776. doi: 10.1007/s10544-008-9189-0. |
M. Stanacevic, VLSI Potentiostat Array with Oversampling Gain Modulation for Wide-Range Neurotransmitter Sensing IEEE Transactions on Biomedical Circuits and Systems, vol. 1, No. 1, pp. 63-72 (2007) (Year: 2007). |
Margulies, et al. Genome sequencing in microfabricated high-density picolitre reactors. Nature. Sep. 15, 2005;437(7057):376-80. Epub Jul. 31, 2005. |
Merrifield, R. B., “Solid-Phase Peptide Synthesis. III. An Improved Synthesis of Bradykinin,” Biochemistry, vol. 3, 9, pp. 1385-1390, Sep. 1964. |
Nanogen. A chip-based genetic detector for rapid identification of individuals. National institute of justice—Project No. 97-LB-VX-0004. Apr. 2006. 102 pgs. |
Notice of allowance dated Sep. 23, 2013 for U.S. Appl. No. 11/844,996. |
Novak, et al., An integrated fluorescence detection system for lab-on-a-chip applications. Lab on a chip, royal society of chemistry. Nov. 2006; 7(1):27-29. |
P. M. Levine, et al., Active CMOS Sensor Array for Electrochemical Biomolecular Detection, IEEE Journal of Solid-State Circuits, vol. 43, No. 8, pp. 1859-1871 (2008) (Year: 2009). |
Parikh, et al. A CMOS Image Sensor for DNA Microarray, IEEE Custom Integrated Circuit Conf., 2007 26: 821-824. |
Paska et al. Effect of formalin, acetone, and RNAlater fixatives on tissue preservation and different size amplicons by real-time PCR from paraffin-embedded tissue. Diagn Mol Path 13(4):234-240 (2004). |
PCT/US2020/022830 International Search Report and Written Opinion dated Jul. 30, 2020. |
Petersson, et al. A review of the parameter estimation problem of fitting positive exponential sums to empirical data. Technical Report IMa-TOM-1997-08; Available from Applied Mathematics and Computation. Feb. 2002. vol. 126: No. 1. 31-61. |
Rehmna, et al. Immobilization of acrylamide-modified oligonucleotides by co-polymerization. Nucleic Acids Res. Jan. 15, 1999;27(2):649-55. |
Reverter, et al. A rapid method for computationally inferring transcriptome coverage and microarray sensitivity. Bioinformatics. Jan. 1, 2005;21(1):80-9. Epub Aug. 12, 2004. |
Ririe, et al. Product differentiation by analysis of DNA melting curves during the polymerase chain reaction. Anal Biochem. Feb. 15, 1997;245(2):154-60. |
Rothberg, et al. An integrated semiconductor device enabling non-optical genome sequencing. Nature. Jul. 20, 2011;475(7356):348-52. . |
Rothberg et al., “The Development and Impact of 454 Sequencing,” Nature Biotechnology, vol. 26, No. 10, pp. 1117-1124, Oct. 9, 2008. |
S. Hwang, et al., CMOS Microelectrode Array for Electrochemical Lab-on-a-Chip Applications, IEEE Sensors Journal, vol. 9, No. 6, pp. 609-615 (2009) (Year: 2009). |
Sakurai et al., “Real-Time Monitoring of DNA Polymerase Reactions by a Micro ISFET pH Sensor,” Anal. Chem., 64, No. 17, pp. 1996-1997, Sep. 1, 1992. |
Salm, et al. Ultralocalized thermal reactions in subnanoliter droplets-in-air. Proc Natl Acad Sci U S A. Feb. 26, 2013;110(9):3310-5. . |
Sambrook, et al. Molecular cloning: A Laboratory Manual. 2nd Edition. 1989. New York: Cold spring harbor laboratory press. |
Sanghvi, et al. Chapters 6 and 7, ASC Symposium Series 580, “Carbohydrate Modifications in Antisense Research”, 1994. |
Sanghvi, et al. ed. Chapters 2 and 3, ASC Symposium Series 580—Carbohydrates Modifications in Antisense Research. American Chemical Society. Washington, DC. 1994. |
Savyon Diagnostics. Nano CHIP. www.nanochip400.com. NG Jun. 2010—VER1. 8pgs. |
Schena, et al. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science. Oct. 20, 1995;270(5235):467-70. |
Schena. Microarray Analysis. Wiley-Liss: A John Wiley & Sons, Inc., Publication. 2003. Hoboken, New Jersey. (Table of contents only). |
Scherf, et al. Letter from Uwe Scherf-S to Kristen Kanack re: K143178 Section 510(k). Department of Health & Human Services. Jan. 30, 2015. 9pgs. |
Schienle, et al. A fully electronic DNA sensor with 128 positions and in-pixel A/D conversion. IEEE Journal of vol. 39, Issue 12, Dec. 2004 pp. 2438-2445. |
Singh, et al., CMOS biochips for hypothesis-driven DNA analysis. IEEE Biomedical circuits and systems conference. Oct. 2014. |
Stillman, et al. FAST slides: a novel surface for microarrays. Biotechniques. Sep. 2000;29(3):630-5. |
Stimpson, et al. Real-time detection of DNA hybridization and melting on oligonucleotide arrays by using optical wave guides. Proc Natl Acad Sci U S A. Jul. 3, 1995;92(14):6379-83. |
Stolovitzky, et al. Efficiency of DNA replication in the polymerase chain reaction. Proc Natl Acad Sci USA. 1996; 93: 12947-52. |
Stoughton. Applications of DNA microarrays in biology. Annu Rev Biochem. 2005;74:53-82. |
Tao, et al., Blocking oligo—a novel approach for improving chip-based DNA hybridization efficiency. Mol Cell Probes. Aug. 2003;17(4):197-202. |
Tijssen, P. Ch 2—Overview of principles of hybridization and the strategy of nucleic acid probe assays. Laboratory Techniques in Biochemistry and Molecular Biology: Hybridization with Nucleic Acid Probes. Elsevier Science Publisher, Netherlands. 1993. vol. 24; 19-78 Pages. |
Tijssen. Chapter 3 of Laboratory Techniques in Biochemistry and Molecular Biology: Hybridization with Nucleic Acid Probes, Part I. Theory and Nucleic Acid Preparation. Elsevier, N.Y. 1993. |
Tolley, et al. Single-chain polymorphism analysis in long QT syndrome using planar waveguide fluorescent biosensors. Anal Biochem. Apr. 15, 2003;315(2):223-37. |
Tsuji et al. Development of a Time-Resolved Fluorometric Method for Observing Hybridization in Living Cells Using Fluorescence Resonance Energy Transfer. Biophysical Journal, Jul. 2001, 81:501-515. |
Tu, et al. Quantitative noise analysis for gene expression microarray experiments. Proc Natl Acad Sci U S A. Oct. 29, 2002;99(22):14031-6. Epub Oct. 18, 2002. |
Van Der Veen, et al. Subspace-based signal analysis using singular value decomposition. Proceedings of the IEEE, 1993, 81(9), 1277-1308. |
Walczak, et al., Miniaturized System for Real-Time PCR in Low-Cost Disposable LTCC Chip With Integrated Optical Waveguide. 12th international conference on miniaturized systems for chemistry and life sciences. 2008; 1078-1080. |
Wang, et al. Estimation of the mutation rate during error-prone polymerase chain reaction. J Comput Biol. 2000; 7(1-2): 143-58. |
Wittwer, et al. Continuous fluorescence monitoring of rapid cycle DNA amplification. Biotechniques. Jan. 1997;22(1):130-8. |
You, et al., Measuring thermodynamic details of DNA hybridization using fluorescence, Biopolymers, vol. 95, 2011; pp. 472-486. |
Zhu, et al. Protein chip technology. Current Opinion in Chemical Biology. 2003; 7: 55-63. |
Number | Date | Country | |
---|---|---|---|
20200292457 A1 | Sep 2020 | US |
Number | Date | Country | |
---|---|---|---|
62818614 | Mar 2019 | US |
Number | Date | Country | |
---|---|---|---|
Parent | PCT/US2020/022830 | Mar 2020 | US |
Child | 16840773 | US |