Digital microfluidic devices including dual substrates with thin-film transistors and capacitive sensing

Abstract
An active matrix electrowetting on dielectric (AM-EWoD) device including dual substrates with thin-film transistors (TFT) and capacitive sensing. As depicted herein the bottom substrate includes a first plurality of electrodes to propel various droplets through a microfluidic region, while the top substrate includes a second plurality of electrodes that are configured to interrogate the droplets with capacitive sensing. In some embodiments, the top substrate has zones of high-resolution sensing and zones of low-resolution sensing.
Description
BACKGROUND

Digital microfluidic devices use independent electrodes to propel, split, and join droplets in a confined environment, thereby providing a “lab-on-a-chip.” Digital microfluidic devices are alternatively referred to as electrowetting on dielectric, or “EWoD,” to further differentiate the method from competing microfluidic systems that rely on electrophoretic flow and/or micropumps. A 2012 review of the electrowetting technology was provided by Wheeler in “Digital Microfluidics,” Annu. Rev. Anal. Chem. 2012, 5:413-40, which is incorporated herein by reference in its entirety. The technique allows sample preparation, assays, and synthetic chemistry to be performed with tiny quantities of both samples and reagents. In recent years, controlled droplet manipulation in microfluidic cells using electrowetting has become commercially-viable; and there are now products available from large life science companies, such as Oxford Nanopore.


Most of the literature reports on EWoD involve so-called “passive matrix” devices (a.k.a. “segmented” devices), whereby ten to twenty electrodes are directly driven with a controller. While segmented devices are easy to fabricate, the number of electrodes is limited by space and driving constraints. Accordingly, it is not possible to perform massive parallel assays, reactions, etc. in passive matrix devices. In comparison, “active matrix” devices (a.k.a. active matrix EWoD, a.k.a. AM-EWoD) devices can have many thousands, hundreds of thousands or even millions of addressable electrodes. The electrodes are typically switched by thin-film transistors (TFTs) and droplet motion is programmable so that AM-EWoD arrays can be used as general purpose devices that allow great freedom for controlling multiple droplets and executing simultaneous analytical processes.


Because of the restrictive requirements on the electric field leakage, most advanced AM-EWoD devices are constructed from polycrystalline silicon (a.k.a. polysilicon, a.k.a. poly-Si). However, polysilicon fabrication is substantially more expensive than amorphous silicon fabrication, i.e., the type used in mass-produced active matrix TFTs for the LCD display industry. Polysilicon fabrication processes are more expensive because there are unique handling and fabrication steps for working with polysilicon. There are also fewer facilities worldwide that are configured to fabricate devices from polysilicon. However, because of the improved functionality of polysilicon, Sharp Corporation has been able to achieve AM-EWoD devices that include propulsion, sensing, and heating capabilities on a single active matrix. See, e.g., U.S. Pat. Nos. 8,419,273, 8,547,111, 8,654,571, 8,828,336, 9,458,543, all of which are incorporated herein by reference in their entireties. An example of a complex poly-Si AM-EWoD is shown in FIG. 1.


While poly-Si fabrication techniques allow implementation of complex AM-EWoD devices, the costs of poly-Si device production, combined with a global shortage of suitable fabrication facilities, has prevented the AM-EWoD technology from becoming widely available. There is a need for different designs that can take advantage of existing amorphous silicon fabrication capacity. Such devices could be produced at lower cost, and in great quantities, making them ideal for commonplace diagnostic testing, such as immunoassays.


SUMMARY OF INVENTION

The invention addresses the shortcomings of the prior art by providing an alternate architecture for an AM-EWoD that is well-suited for construction from amorphous silicon substrates. In one instance, the invention provides a digital microfluidic device, including a first substrate, a second substrate, a spacer, and first and second controllers. The first substrate includes a first plurality of electrodes coupled to a first set of thin-film-transistors, and includes a first dielectric layer covering both the first plurality of electrodes and the first set of thin-film-transistors. The second substrate includes a second plurality of electrodes coupled to a second set of thin-film-transistors, and includes a second dielectric layer covering both the second plurality of electrodes and the second set of thin-film-transistors. The spacer separates the first and second substrates, and creates a microfluidic region between the first and second substrates. The first controller is operatively coupled to the first set of thin-film-transistors and configured to provide a propulsion voltage to at least a portion of the first plurality of electrodes, while the second controller is operatively coupled to the second set of thin-film-transistors and configured to determine a capacitance between at least one of the second plurality of electrodes and a drive electrode. In some embodiments, the first dielectric layer is hydrophobic, and in other embodiments, the second dielectric layer is hydrophobic. In preferred embodiments, the first plurality of electrodes are arranged in an array, for example with at least 25 electrodes per linear centimeter. In some embodiments, the second plurality of electrodes are interdigitated with the drive electrode. In some embodiments, a signal source is coupled to the drive electrode and configured to provide a time-varying voltage to the drive electrode. In some embodiments the second substrate includes at least one light-transmissive region, which may be, e.g., at least 10 mm2 in area. The digital microfluidic device may be constructed from amorphous or polysilicon.


In some embodiments, a digital microfluidic device will have two areas of different electrode densities, i.e., a high density (a.k.a. “high-res”) area, and a low density (a.k.a. “low-res”) area for the sensor electrode side. Such a design will allow a user to perform particle interrogation (i.e., capacitive sensing) to determine composition or size in one portion of the device, and then simply monitor the location or presence of particles in another portion of the device. Overall, such a configuration simplifies the fabrication of a device while also simplifying the data handling associated with the sensing functions.





BRIEF DESCRIPTION OF DRAWINGS


FIG. 1 shows a prior art EWoD device including both propulsion and sensing on the same active matrix;



FIG. 2 depicts the movement of an aqueous-phase droplet between adjacent electrodes by providing differing charge states on adjacent electrodes;



FIG. 3 shows a TFT architecture for a plurality of propulsion electrodes of an EWoD device of the invention;



FIG. 4 is a schematic diagram of a portion of the first substrate, including a propulsion electrode, a thin film transistor, a storage capacitor, a dielectric layer, and a hydrophobic layer;



FIG. 5 is a schematic diagram of a portion of the second substrate, including a sensing electrode, a drive electrode, a thin film transistor, a dielectric layer, and a hydrophobic layer;



FIG. 6 shows a TFT architecture for a sensing electrode and a drive electrode configured for capacitive sensing and evaluation of microfluidic droplets;



FIG. 7 illustrates an embodiment wherein the sensing electrodes and the drive electrode are interdigitated as part of the second substrate;



FIG. 8 illustrates a top view of a digital microfluidic device wherein the sensing electrodes are arranged with varying regions of high and low density. The electrode arrangement shown in FIG. 8 provides the necessary functionality (droplet size determination and motion tracking) for many analytical functions while reducing the complexity of the device and the cost of production;



FIG. 9 illustrates an alternate embodiment including a light-transmissive region where droplets can be interrogated with electromagnetic radiation, i.e., light. It is understood that both the probe light and the resulting signal may enter/exit through the same light-transmissive region;



FIG. 10 shows an alternative arrangement of sensing electrodes arranged with varying regions of high and low density;



FIG. 11 shows an alternative arrangement of sensing electrodes arranged with varying regions of high and low density;



FIG. 12 shows an alternative arrangement including elongated sensing electrodes arranged with varying regions of high and low density;



FIG. 13 shows an alternative arrangement including elongated sensing electrodes arranged with varying regions of high and low density.





DETAILED DESCRIPTION

As indicated above, the present invention provides an active matrix electrowetting on dielectric (AM-EWoD) device including dual substrates with thin-film transistors (TFT) and capacitive sensing. As depicted herein the “bottom” substrate includes a plurality of electrodes to propel various droplets through a microfluidic region. The “top” substrate includes a plurality of electrodes to provide a signal and to detect the presence and/or size and/or composition of a droplet with capacitive sensing. The use of “top” and “bottom” is merely a convention as the locations of the two substrates can be switched, and the devices can be oriented in a variety of ways, for example, the top and bottom plates can be roughly parallel while the overall device is oriented so that the substrates are normal to a work surface (as opposed to parallel to the work surface as shown in the figures). The top or the bottom substrate may include additional functionality, such as resistive heating and/or temperature sensing. Because the devices incorporate TFT-based sensors, the devices have much higher sensitivity and resolution than known passive devices. Additionally, because both of the electrodes needed for capacitive sensing are on the same substrate, the top and bottom electrodes do not need to be aligned, and the sensing pixels can be of different sizes or configurations as compared to the propulsion electrodes. Additionally, the designs can be implemented with amorphous silicon, thereby reducing the cost of production to the point that the devices can be disposable. It is also possible to use a-Si TFTs for the bottom plate to benefit from their higher operation voltage, and poly-Si TFTs on the top plate for higher sensitivity sensing.


The fundamental operation of an EWoD device is illustrated in the sectional image of FIG. 2. The EWoD 200 includes a cell filled with an oil 202 and at least one aqueous droplet 204. The cell gap is typically in the range 50 to 200 μm, but the gap can be larger. In a basic configuration, as shown in FIG. 2, a plurality of propulsion electrodes 205 are disposed on one substrate and a singular top electrode 206 is disposed on the opposing surface. The cell additionally includes hydrophobic coatings 207 on the surfaces contacting the oil layer, as well as a dielectric layer 208 between the propulsion electrodes 205 and the hydrophobic coating 207. (The upper substrate may also include a dielectric layer, but it is not shown in FIG. 2). The hydrophobic layer prevents the droplet from wetting the surface. When no voltage differential is applied between adjacent electrodes, the droplet will maintain a spheroidal shape to minimize contact with the hydrophobic surfaces (oil and hydrophobic layer). Because the droplets do not wet the surface, they are less likely to contaminate the surface or interact with other droplets except when that behavior is desired.


While it is possible to have a single layer for both the dielectric and hydrophobic functions, such layers typically require thick inorganic layers (to prevent pinholes) with resulting low dielectric constants, thereby requiring more than 100V for droplet movement. To achieve low voltage actuation, it is better to have a thin inorganic layer for high capacitance and to be pinhole free, topped by a thin organic hydrophobic layer. With this combination it is possible to have electrowetting operation with voltages in the range +/−10 to +/−50V, which is in the range that can be supplied by conventional TFT arrays.


When a voltage differential is applied between adjacent electrodes, the voltage on one electrode attracts opposite charges in the droplet at the dielectric-to-droplet interface, and the droplet moves toward this electrode, as illustrated in FIG. 2. The voltages needed for acceptable droplet propulsion depend on the properties of the dielectric and hydrophobic layers. AC driving is used to reduce degradation of the droplets, dielectrics, and electrodes by various electrochemistries. Operational frequencies for EWoD can be in the range 100 Hz to 1 MHz, but lower frequencies of 1 kHz or lower are preferred for use with TFTs that have limited speed of operation.


As shown in FIG. 2, the top electrode 206 is a single conducting layer normally set to zero volts or a common voltage value (VCOM) to take into account offset voltages on the propulsion electrodes 205 due to capacitive kickback from the TFTs that are used to switch the voltage on the electrodes (see FIG. 3). The top electrode can also have a square wave applied to increase the voltage across the liquid. Such an arrangement allows lower propulsion voltages to be used for the TFT connected propulsion electrodes 205 because the top plate voltage 206 is additional to the voltage supplied by the TFT.


As shown in FIG. 3, an active matrix of propulsion electrodes can be arranged to be driven with data and gate (select) lines much like an active matrix in a liquid crystal display. The gate (select) lines are scanned for line-at-a time addressing, while the data lines carry the voltage to be transferred to propulsion electrodes for electrowetting operation. If no movement is needed, or if a droplet is meant to move away from a propulsion electrode, then 0V will be applied to that (non-target) propulsion electrode. If a droplet is meant to move toward a propulsion electrode, an AC voltage will be applied to that (target) propulsion electrode.


The architecture of an amorphous silicon, TFT-switched, propulsion electrode is shown in FIG. 4. The dielectric 408 must be thin enough and have a dielectric constant compatible with low voltage AC driving, such as available from conventional image controllers for LCD displays. For example, the dielectric layer may comprise a layer of approximately 20-40 nm SiO2 topped over-coated with 200-400 nm plasma-deposited silicon nitride. Alternatively, the dielectric may comprise atomic-layer-deposited Al2O3 between 2 and 100 nm thick, preferably between 20 and 60 nm thick. The TFT is constructed by creating alternating layers of differently-doped a-Si structures along with various electrode lines, with methods know to those of skill in the art. The hydrophobic layer 407 can be constructed from materials such as Teflon® AF (Sigma-Aldrich, Milwaukee, Wis.) and FlurorPel™ coatings from Cytonix (Beltsville, Md.), which can be spin coated over the dielectric layer 408.


In the invention, a second substrate with TFT functionality is constructed to provide capacitive sensing capabilities, and the two layers are separated with a spacer that creates a microfluidic region between the two layers. Capacitive sensing of droplets uses two electrodes, as shown in FIG. 6. Typically, an AC signal is applied to a driving electrode 506, whereby the AC signal produces a capacitively-coupled voltage on a nearby sensing electrode 505. The capacitively-coupled signal is measured by external circuitry, and changes in the signal are indicative of the material between the drive electrode 506 and the sensing electrode 505. For example, the coupled voltage will be obviously different depending on whether oil 202 or an aqueous droplet 204 is between the electrodes because of the differences in the relative permittivity between the materials. (Silicone oil has a relative permittivity of εr=2.5, ethanol has a relative permittivity of εr=24, and water has a relative permittivity of εr=80.)


The architecture of an amorphous silicon sensing layer, including TFT-switched sensing electrodes 505 and drive electrodes 506 is shown in FIG. 5. The AC signal for the driving electrodes runs horizontally and only one line at a time is activated to minimize capacitive coupling to read-out lines and “OFF” sensing electrodes. TFTs are not perfect switches and have some small conductance even in the “OFF” state. This means that a large number of OFF lines can have similar signal to one “ON” pixel. For this reason it is better to minimize capacitive signals from ac voltages above and below the row being driven by only having ac voltages on the row being driven.


As shown in FIG. 6, the sensing and drive electrodes create a coplanar gap cell. One major advantage is that the two plates do not need to be accurately aligned, or even to have the same pixel pitch, thus fabrication of a two plate system is simplified. Additional details of capacitive sensing for droplets using interdigital gap cells can be found in, e.g., “Capacitance Variation Induced by Microfluidic Two-Phase Flow across Insulated Interdigital Electrodes in Lab-On-Chip Devices”, T. Dong, C Barbosa, Sensors, 15, 2694-2708, (2015), which is incorporated by reference in its entirety. The circuitry for detecting the capacitive signals may include various electrical components, including amplifiers, multiplexing switches. Advanced designs may include an array of a-Si TFTs coupled to a multi-channel charge sensor, such as used for digital x-ray imaging. See, “Front-end electronics for imaging detectors”, G. De Geronimo, et al., Nuclear Instruments and Methods in Physics Research A, 471 pp. 192-199, (2001), which is incorporated by reference in its entirety.


In some embodiments, it is unnecessary to provide multiple independent drive electrodes for the AC signal. As shown in FIG. 7, the drive electrode can be arranged to be contiguous, but interdigitated with the sensing electrodes. (All of the electrodes shown in FIG. 7 are in the same metal layer, but are shown in different colors to signify their function.) In FIG. 7, the AC signal is provided to a singular driving electrode that runs horizontally across the surface, while various sensing electrodes are “read” across the array. Typically, only one sensor line at a time is activated to minimize capacitive coupling between the AC signal from the driving electrode and sensing electrodes that are in the “OFF” mode. Without such line-by-line readout, the signal from the numerous sensing electrodes with a “null” state (e.g., coupled to oil) will appear larger than proper, decreasing the signal-to-noise of the correctly sensing electrodes. In an alternative embodiment, the top substrate may include drive electrodes, sensing electrodes, and an earthed grid. The drive and sensing electrodes can be used for droplet sensing, as described above, while the earthed grid provides an electrode surface area opposite the propulsion electrode that has low impedance to electrical ground.


The invention will use circuits coupled to the top drive and sensing electrodes to provide capacitive sensing, thereby allowing the device to track the position of droplets manipulated by the device. However, the signal from capacitive sensing of droplets over a small sensing electrode is also relatively small, thus one to three hundred lines of sensor electrodes may be needed to obtain acceptable signal-to-noise ratios. Providing such a high density of sensing electrodes across the entire device would be expensive and unnecessary. Thus, for larger arrays (such as for combinatorial chemistry) it is preferred to have small localized areas with high densities of sensing pixels on the top plate for particle sizing, with lower density elsewhere for movement sensing.


As shown in FIG. 8, an AM-EWoD device can be created with differing densities of sensing electrodes at various locations on the top plate. In the embodiment of FIG. 8, there are 200 dpi high-resolution areas on the array for droplet size measurement, and 10 dpi resolution areas to track droplet movement. In FIG. 8, the sensor would be 181.61 mm wide for 100 measurement lines. If the TFT EWoD propulsion substrate below the sensing plate had a uniform resolution of 200 dpi (electrodes per inch) then there would be 1430 rows of propulsion electrodes for controlling movement, mixing, etc. of droplets. In contrast, a device limited to one hundred sensing rows with a resolution of 180 dpi across the entire device would only be 14.1 mm wide, resulting in only 111 rows of propulsion electrodes; likely too small for complex assays. Thus, by providing differing densities a larger device can be produced with all of the needed sensing capability. In general, a low-resolution area will include between 1 and 15 electrodes per linear centimeter, while a high-resolution area will include between 20 and 200 electrodes per linear centimeter. Typically, the total area (length×width) of sensing electrodes with the lower density (a.k.a., “low-res”) is greater than the total area of sensing electrodes with the higher density (a.k.a., “high-res”). For example, there could be three times or greater of the low-res area as compared to the high-res area s compared to the high-res area. For example, there could be five times or greater of the low-res area. For example, there could be ten times or greater of the low-res area as compared to the high-res area.


An additional benefit of using different densities of sensing electrodes is that portions of the top plate can be provided with transparent, or otherwise light-transmissive, areas to allow further interrogation of droplets. For example, fluorescent markers may be observed by illuminating a droplet through the top substrate with a light source and then using a detector and optionally color filters to observe the resulting fluorescence through the top substrate. In other embodiments, the light may pass through both the top and bottom substrates to allow absorption measurements in the IR, UV, or visible wavelengths. Alternatively, attenuated (frustrated) total-internal reflection spectroscopy can be used to probe the contents and or location of droplets in the system.


An embodiment of such a system is shown in FIG. 9, wherein a gap 910 between sensing electrodes 905 is on the order of 2 mm, allowing light 915 to pass from an objective 920 to illuminate a passing droplet 930. In an embodiment, the droplet 930 includes fluorescent molecules, and the resulting fluorescent signal is collected back through the objective 920 and split using a dichroic filter (not shown) to be detected with a detector (not shown). Thus, the design allows different types of information, e.g., both capacitive and spectroscopic, to be collected on droplets as they move through the system.


As discussed with respect to FIG. 8, the simplest way for implementing low resolution sensing would be to have the same sensing pixel design as the high-resolution areas, but have large spaces around the sensing pixel. This concept is illustrated in a different embodiment in FIG. 10. Using the design of FIG. 10, it would be possible for droplets to pass between the low resolution sensing pixels, but a droplet control algorithm could be written to ensure droplets pass over the sensing pixels on a regular basis, allowing the size and composition of the droplets to be monitored. As illustrated in FIG. 10, a uniform distribution of low resolution pixels makes it possible to dramatically increase the area over which sensing is available, while at the same time allowing the use of commercially-available drivers. As an alternative, the number of sensing pixels on any one vertical sensing line can be constant, while the sensing pixels are staggered, as shown in FIG. 11. Other patterns, such as pseudo-random may also be employed to maximize the interaction with the droplets, while reducing the actual number of sensing TFTs that must be fabricated and later addressed.


It is also possible to create low-resolution and high-resolution sensing areas using differently shaped electrodes, as shown in FIGS. 12 and 13. FIG. 12 shows square pixels in the high resolution sensing area and larger rectangular sensing pixels in the low resolution sensing area. This design would be efficient for sensing movement up and down the array, i.e., moving from one elongated electrode to another. This same technique could be implemented to make both horizontal and vertical elongated electrodes that would provide droplet tracking with lower resolution. FIG. 13 shows low resolution area with vertical and horizontal rectangular sensing pixels to detect vertical and horizontal movement of droplets. Other geometric designs, such as spirals can also be used to facilitate location sensing with fewer electrodes and fewer TFTs. As shown in FIGS. 12 and 13, the droplets can be easily moved from the low density regions, where droplet creation, splitting, or mixing take place, to high density regions where size and composition of those droplets can be evaluated.


From the foregoing, it will be seen that the present invention can provide low-cost lab-on-a-chip functionality. In particular, by using the described architecture, an electrowetting on dielectric system can be created using amorphous-silicon fabrication facilities and lower cost driving electronics. The invention makes efficient use of the available surfaces on both the top and the bottom of the EWoD device, but does not require alignment of the electrodes on the top and bottom surfaces.


It will be apparent to those skilled in the art that numerous changes and modifications can be made in the specific embodiments of the invention described above without departing from the scope of the invention. Accordingly, the whole of the foregoing description is to be interpreted in an illustrative and not in a limitative sense.

Claims
  • 1. A digital microfluidic device, comprising: a first substrate comprising a first plurality of electrodes coupled to a first set of thin-film-transistors, and including a first dielectric layer covering both the first plurality of electrodes and the first set of thin-film-transistors;a second substrate comprising a second plurality of electrodes coupled to a second set of thin-film-transistors and a drive electrode, and including a second dielectric layer covering the second plurality of electrodes, the second set of thin-film-transistors, and the drive electrode;a spacer separating the first and second substrates and creating a microfluidic region between the first and second substrates;a first controller operatively coupled to the first set of thin-film-transistors and configured to provide a propulsion voltage between at least a portion of the first plurality of electrodes and the drive electrode; anda second controller operatively coupled to the second set of thin-film-transistors and configured to determine a capacitance between at least one of the second plurality of electrodes and the drive electrode.
  • 2. The digital microfluidic device of claim 1, wherein the first dielectric layer is hydrophobic.
  • 3. The digital microfluidic device of claim 1, wherein the second dielectric layer is hydrophobic.
  • 4. The digital microfluidic device of claim 1, further comprising a first hydrophobic layer covering the first dielectric layer and a second hydrophobic layer covering the second dielectric layer.
  • 5. The digital microfluidic device of claim 1, wherein the first set of thin-film-transistors or the second set of thin-film-transistors comprises amorphous silicon.
  • 6. The digital microfluidic device of claim 1, wherein the first plurality of electrodes are arranged in an array.
  • 7. The digital microfluidic device of claim 6, wherein the array of the first plurality of electrodes includes at least 25 electrodes per linear centimeter.
  • 8. The digital microfluidic device of claim 1, wherein each electrode of the second plurality of electrodes is interdigitated with the drive electrode.
  • 9. The digital microfluidic device of claim 8, further comprising a signal source coupled to the drive electrode and configured to provide a time-varying voltage to the drive electrode.
  • 10. The digital microfluidic device of claim 8, wherein the second plurality of electrodes are between 0.01 and 5 mm in width.
  • 11. The digital microfluidic device of claim 1, wherein the second substrate includes at least one light-transmissive region.
  • 12. The digital microfluidic device of claim 11, wherein the light-transmissive region is at least 10 mm2 in area.
  • 13. The digital microfluidic device of claim 1, wherein the second plurality of electrodes are arranged in a first density and a second density, and the first density includes at least three times as many electrodes per 100 mm2 as the second density.
  • 14. The digital microfluidic device of claim 13, wherein the first density of the second plurality of electrodes includes between 20 and 200 electrodes per linear centimeter.
  • 15. The digital microfluidic device of claim 13, wherein the second density of the second plurality of electrodes includes between 1 and 15 electrodes per linear centimeter.
  • 16. The digital microfluidic device of claim 13, wherein the area of the device corresponding to the first density is smaller than the area of the device corresponding to the second density.
  • 17. The digital microfluidic device of claim 16, wherein the area of the device corresponding to the second density is at least three times larger than the area of the device corresponding to the first density.
RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent Application No. 62/573,846, filed Oct. 18, 2017. All patents and patent applications referenced in this specification are incorporated by reference in their entireties.

US Referenced Citations (386)
Number Name Date Kind
4573995 Chen et al. Mar 1986 A
4708716 Sibalis Nov 1987 A
5080646 Theeuwes et al. Jan 1992 A
5311337 McCartney, Jr. May 1994 A
5930026 Jacobson Jul 1999 A
6118426 Albert Sep 2000 A
6124851 Jacobson Sep 2000 A
6130773 Jacobson Oct 2000 A
6177921 Comiskey Jan 2001 B1
6232950 Albert May 2001 B1
6241921 Jacobson Jun 2001 B1
6252564 Albert Jun 2001 B1
6312304 Duthaler Nov 2001 B1
6312971 Amundson Nov 2001 B1
6376828 Comiskey Apr 2002 B1
6392786 Albert May 2002 B1
6413790 Duthaler Jul 2002 B1
6422687 Jacobson Jul 2002 B1
6445374 Albert Sep 2002 B2
6445489 Jacobson Sep 2002 B1
6473072 Comiskey Oct 2002 B1
6480182 Turner Nov 2002 B2
6498114 Amundson Dec 2002 B1
6504524 Gates Jan 2003 B1
6506438 Duthaler Jan 2003 B2
6512354 Jacobson Jan 2003 B2
6518949 Drzaic Feb 2003 B2
6521489 Duthaler et al. Feb 2003 B2
6531997 Gates Mar 2003 B1
6535197 Comiskey Mar 2003 B1
6545291 Amundson Apr 2003 B1
6639578 Comiskey Oct 2003 B1
6657772 Loxley Dec 2003 B2
6664944 Albert Dec 2003 B1
D485294 Albert Jan 2004 S
6680725 Jacobson Jan 2004 B1
6683333 Kazlas Jan 2004 B2
6704133 Gates Mar 2004 B2
6710540 Albert Mar 2004 B1
6724519 Comiskey Apr 2004 B1
6738050 Comiskey May 2004 B2
6750473 Amundson Jun 2004 B2
6753999 Zehner Jun 2004 B2
6816147 Albert Nov 2004 B2
6819471 Amundson Nov 2004 B2
6825068 Denis Nov 2004 B2
6825829 Albert Nov 2004 B1
6825970 Goenaga Nov 2004 B2
6831769 Holman Dec 2004 B2
6842167 Albert Jan 2005 B2
6842279 Amundson Jan 2005 B2
6842657 Drzaic Jan 2005 B1
6865010 Duthaler et al. Mar 2005 B2
6873452 Tseng Mar 2005 B2
6900851 Morrison May 2005 B2
6909532 Chung Jun 2005 B2
6922276 Zhang Jul 2005 B2
6950220 Abramson et al. Sep 2005 B2
6967640 Albert et al. Nov 2005 B2
6980196 Turner et al. Dec 2005 B1
6982178 LeCain et al. Jan 2006 B2
6995550 Jacobson Feb 2006 B2
7002728 Pullen Feb 2006 B2
7012600 Zehner Mar 2006 B2
7012735 Honeyman Mar 2006 B2
7023420 Comiskey Apr 2006 B2
7030412 Drzaic et al. Apr 2006 B1
7030854 Baucom et al. Apr 2006 B2
7034783 Gates Apr 2006 B2
7061166 Kuniyasu Jun 2006 B2
7061662 Chung Jun 2006 B2
7075502 Drzaic Jul 2006 B1
7075703 O'Neil et al. Jul 2006 B2
7106296 Jacobson Sep 2006 B1
7110163 Webber et al. Sep 2006 B2
7116318 Amundson Oct 2006 B2
7116466 Whitesides Oct 2006 B2
7119759 Zehner et al. Oct 2006 B2
7119772 Amundson Oct 2006 B2
7148128 Jacobson Dec 2006 B2
7163612 Sterling et al. Jan 2007 B2
7167155 Albert Jan 2007 B1
7170670 Webber Jan 2007 B2
7173752 Doshi et al. Feb 2007 B2
7176880 Amundson et al. Feb 2007 B2
7177066 Chung Feb 2007 B2
7190008 Amundson et al. Mar 2007 B2
7193625 Danner Mar 2007 B2
7202847 Gates Apr 2007 B2
7206119 Honeyman et al. Apr 2007 B2
7223672 Kazlas et al. May 2007 B2
7230751 Whitesides Jun 2007 B2
7242514 Chung Jul 2007 B2
7256766 Albert et al. Aug 2007 B2
7259744 Arango Aug 2007 B2
7280094 Albert Oct 2007 B2
7301693 Chaug Nov 2007 B2
7304780 Liu Dec 2007 B2
7304787 Whitesides Dec 2007 B2
7312784 Baucom Dec 2007 B2
7312794 Zehner Dec 2007 B2
7327346 Chung Feb 2008 B2
7327511 Whitesides Feb 2008 B2
7347957 Wu Mar 2008 B2
7349148 Doshi et al. Mar 2008 B2
7352353 Albert Apr 2008 B2
7365394 Denis et al. Apr 2008 B2
7365733 Duthaler Apr 2008 B2
7382363 Albert et al. Jun 2008 B2
7388572 Duthaler et al. Jun 2008 B2
7401758 Liang Jul 2008 B2
7408699 Wang Aug 2008 B2
7411719 Paolini, Jr. Aug 2008 B2
7420549 Jacobson Sep 2008 B2
7442587 Amundson et al. Oct 2008 B2
7453445 Amundson Nov 2008 B2
7471274 Kim Dec 2008 B2
7492339 Amundson Feb 2009 B2
7492497 Paolini, Jr. Feb 2009 B2
7528822 Amundson May 2009 B2
7535624 Amundson et al. May 2009 B2
7545358 Gates Jun 2009 B2
7551346 Fazel Jun 2009 B2
7554712 Patry et al. Jun 2009 B2
7560004 Pereira Jul 2009 B2
7583251 Arango Sep 2009 B2
7583427 Danner Sep 2009 B2
7598173 Ritenour Oct 2009 B2
7602374 Zehner Oct 2009 B2
7605799 Amundson et al. Oct 2009 B2
7612760 Kawai Nov 2009 B2
7636191 Duthaler Dec 2009 B2
7649674 Danner Jan 2010 B2
7667886 Danner Feb 2010 B2
7672040 Sohn Mar 2010 B2
7679599 Kawai Mar 2010 B2
7679813 Liang Mar 2010 B2
7679814 Paolini, Jr. Mar 2010 B2
7683606 Kang Mar 2010 B2
7688297 Zehner Mar 2010 B2
7688497 Danner Mar 2010 B2
7705824 Baucom et al. Apr 2010 B2
7729039 LeCain et al. Jun 2010 B2
7733311 Amundson Jun 2010 B2
7733335 Zehner Jun 2010 B2
7785988 Amundson Aug 2010 B2
7787169 Abramson et al. Aug 2010 B2
7830592 Sprague Nov 2010 B1
7839564 Whitesides et al. Nov 2010 B2
7843626 Amundson et al. Nov 2010 B2
7859637 Amundson et al. Dec 2010 B2
7859742 Chiu Dec 2010 B1
7880958 Zang Feb 2011 B2
7893435 Kazlas et al. Feb 2011 B2
7898717 Patry Mar 2011 B2
7905977 Qi Mar 2011 B2
7952557 Amundson May 2011 B2
7956841 Albert Jun 2011 B2
7957053 Honeyman Jun 2011 B2
7982479 Wang Jul 2011 B2
7986450 Cao Jul 2011 B2
7999787 Amundson Aug 2011 B2
8009344 Danner Aug 2011 B2
8009348 Zehner Aug 2011 B2
8027081 Danner Sep 2011 B2
8049947 Danner Nov 2011 B2
8064962 Wilcox et al. Nov 2011 B2
8072675 Lin Dec 2011 B2
8077141 Duthaler Dec 2011 B2
8089453 Comiskey Jan 2012 B2
8120836 Lin Feb 2012 B2
8125501 Amundson Feb 2012 B2
8139050 Jacobson Mar 2012 B2
8149228 Lin et al. Apr 2012 B2
8159636 Sun Apr 2012 B2
8159644 Takatori Apr 2012 B2
8173000 Hadwen et al. May 2012 B1
8174490 Whitesides May 2012 B2
8208193 Patry Jun 2012 B2
8237892 Sprague Aug 2012 B1
8238021 Sprague Aug 2012 B2
8243013 Sprague Aug 2012 B1
8274472 Wang Sep 2012 B1
8289250 Zehner Oct 2012 B2
8300006 Zhou Oct 2012 B2
8305341 Arango Nov 2012 B2
8314784 Ohkami Nov 2012 B2
8319759 Jacobson Nov 2012 B2
8339711 Hadwen Dec 2012 B2
8362488 Chaug Jan 2013 B2
8373211 Amundson Feb 2013 B2
8373649 Low Feb 2013 B2
8384658 Albert Feb 2013 B2
8389381 Amundson Mar 2013 B2
8395836 Lin Mar 2013 B2
8419273 Hadwen et al. Apr 2013 B2
8437069 Lin May 2013 B2
8441414 Lin May 2013 B2
8456414 Lin Jun 2013 B2
8456589 Sprague Jun 2013 B1
8462102 Wong Jun 2013 B2
8498042 Danner Jul 2013 B2
8514168 Chung Aug 2013 B2
8525966 Takatori Sep 2013 B2
8529743 Kim et al. Sep 2013 B2
8537105 Chiu Sep 2013 B2
8547111 Hadwen et al. Oct 2013 B2
8547628 Wu Oct 2013 B2
8553012 Baucom Oct 2013 B2
8558783 Wilcox Oct 2013 B2
8558785 Zehner Oct 2013 B2
8558786 Lin Oct 2013 B2
8558855 Sprague Oct 2013 B2
8576162 Kang Nov 2013 B2
8576164 Sprague Nov 2013 B2
8576259 Lin Nov 2013 B2
8593396 Amundson Nov 2013 B2
8605032 Liu Dec 2013 B2
8610988 Zehner Dec 2013 B2
8643595 Chung Feb 2014 B2
8653832 Hadwen Feb 2014 B2
8654571 John et al. Feb 2014 B2
8665206 Lin Mar 2014 B2
8681191 Yang Mar 2014 B2
8714780 Ho May 2014 B2
8728266 Danner May 2014 B2
8730153 Sprague May 2014 B2
8743077 Sprague Jun 2014 B1
8754859 Gates Jun 2014 B2
8764958 Wang Jul 2014 B2
8797258 Sprague Aug 2014 B2
8797633 Sprague Aug 2014 B1
8797636 Yang Aug 2014 B2
8810525 Sprague Aug 2014 B2
8810882 Heikenfeld Aug 2014 B2
8815070 Wang et al. Aug 2014 B2
8828336 Hadwen et al. Sep 2014 B2
8830560 Danner Sep 2014 B2
8853645 Okada et al. Oct 2014 B2
8891155 Danner Nov 2014 B2
8928562 Gates Jan 2015 B2
8928641 Chiu Jan 2015 B2
8958044 Takatori Feb 2015 B2
8969886 Amundson Mar 2015 B2
8976444 Zhang Mar 2015 B2
8980075 Cheng et al. Mar 2015 B2
8994705 Jacobson Mar 2015 B2
9013394 Lin Apr 2015 B2
9019197 Lin Apr 2015 B2
9019198 Lin Apr 2015 B2
9019318 Sprague Apr 2015 B2
9025234 Lin May 2015 B2
9025238 Chan May 2015 B2
9030374 Sprague May 2015 B2
9082352 Cheng Jul 2015 B2
9140952 Sprague Sep 2015 B2
9147364 Wu Sep 2015 B2
9152003 Danner Oct 2015 B2
9152004 Paolini, Jr. Oct 2015 B2
9171508 Sprague Oct 2015 B2
9201279 Wu Dec 2015 B2
9216414 Chu Dec 2015 B2
9218773 Sun Dec 2015 B2
9223164 Lai Dec 2015 B2
9224338 Chan Dec 2015 B2
9224342 Sprague Dec 2015 B2
9224344 Chung Dec 2015 B2
9230492 Harrington Jan 2016 B2
9251736 Lin Feb 2016 B2
9262973 Wu Feb 2016 B2
9269311 Amundson Feb 2016 B2
9285648 Liu Mar 2016 B2
9299294 Lin Mar 2016 B2
9310661 Wu Apr 2016 B2
9373289 Sprague Jun 2016 B2
9390066 Smith Jul 2016 B2
9390661 Chiu Jul 2016 B2
9412314 Amundson Aug 2016 B2
9419024 Amundson Aug 2016 B2
9454057 Wu Sep 2016 B2
9458543 Hadwen Oct 2016 B2
9460666 Sprague Oct 2016 B2
9495918 Harrington Nov 2016 B2
9501981 Lin Nov 2016 B2
9513743 Sjodin et al. Dec 2016 B2
9514667 Lin Dec 2016 B2
9529240 Paolini, Jr. Dec 2016 B2
9542895 Gates Jan 2017 B2
9564088 Wilcox et al. Feb 2017 B2
9582041 Cheng Feb 2017 B2
9612502 Danner Apr 2017 B2
9620048 Sim Apr 2017 B2
9620066 Bishop Apr 2017 B2
9620067 Harrington Apr 2017 B2
9632373 Huang Apr 2017 B2
9666142 Hung May 2017 B2
9671635 Paolini, Jr. Jun 2017 B2
9672766 Sjodin Jun 2017 B2
9679185 Chin Jun 2017 B2
9691333 Cheng Jun 2017 B2
9721495 Harrington Aug 2017 B2
9778500 Gates Oct 2017 B2
9792861 Chang Oct 2017 B2
9792862 Hung Oct 2017 B2
9815056 Wu et al. Nov 2017 B2
9841653 Wu Dec 2017 B2
9921451 Telfer et al. Mar 2018 B2
9966018 Gates May 2018 B2
10037735 Amundson Jul 2018 B2
10048563 Paolini, Jr. Aug 2018 B2
10048564 Paolini, Jr. Aug 2018 B2
10190743 Hertel et al. Jan 2019 B2
10229641 Yang Mar 2019 B2
10319313 Harris Jun 2019 B2
20020060321 Kazlas May 2002 A1
20020090980 Wilcox et al. Jul 2002 A1
20030102858 Jacobson Jun 2003 A1
20040085619 Wu May 2004 A1
20040105036 Danner et al. Jun 2004 A1
20040119681 Albert et al. Jun 2004 A1
20040246562 Chung Dec 2004 A1
20050122306 Wilcox et al. Jun 2005 A1
20050122563 Honeyman et al. Jun 2005 A1
20050253777 Zehner Nov 2005 A1
20060255322 Wu Nov 2006 A1
20070052757 Jacobson Mar 2007 A1
20070091418 Danner Apr 2007 A1
20070103427 Zhou et al. May 2007 A1
20070176912 Beames Aug 2007 A1
20070285385 Albert Dec 2007 A1
20080024429 Zehner Jan 2008 A1
20080024482 Gates Jan 2008 A1
20080136774 Harris Jun 2008 A1
20080154179 Cantor et al. Jun 2008 A1
20080303780 Sprague Dec 2008 A1
20090122389 Whitesides May 2009 A1
20090174651 Jacobson Jul 2009 A1
20090315044 Amundson Dec 2009 A1
20090322721 Zehner Dec 2009 A1
20100177396 Lin Jul 2010 A1
20100194733 Lin Aug 2010 A1
20100194789 Lin Aug 2010 A1
20100220121 Zehner Sep 2010 A1
20100225611 Lee et al. Sep 2010 A1
20100265561 Gates et al. Oct 2010 A1
20110063314 Chiu Mar 2011 A1
20110140744 Kazlas Jun 2011 A1
20110175875 Lin Jul 2011 A1
20110187683 Wilcox Aug 2011 A1
20110193840 Amundson Aug 2011 A1
20110193841 Amundson Aug 2011 A1
20110199671 Amundson Aug 2011 A1
20110221740 Yang Sep 2011 A1
20110292319 Cole Dec 2011 A1
20120001957 Liu Jan 2012 A1
20120098740 Chiu Apr 2012 A1
20120273702 Culbertson et al. Nov 2012 A1
20120293858 Telfer Nov 2012 A1
20130063333 Arango Mar 2013 A1
20130146459 Bazant et al. Jun 2013 A1
20130161193 Jacobs Jun 2013 A1
20130194250 Amundson Aug 2013 A1
20130249782 Wu Sep 2013 A1
20140009817 Wilcox et al. Jan 2014 A1
20140078024 Paolini, Jr. Mar 2014 A1
20140192000 Hung Jul 2014 A1
20140204012 Wu Jul 2014 A1
20140210701 Wu Jul 2014 A1
20140240210 Wu Aug 2014 A1
20140253425 Zalesky Sep 2014 A1
20140293398 Wang Oct 2014 A1
20150097877 Lin Apr 2015 A1
20150261057 Harris Sep 2015 A1
20150262255 Khajehnouri Sep 2015 A1
20150262551 Zehner Sep 2015 A1
20150378235 Lin Dec 2015 A1
20160077375 Lin Mar 2016 A1
20160103380 Kayal Apr 2016 A1
20160140910 Amundson May 2016 A1
20160178890 Massard Jun 2016 A1
20160180777 Lin Jun 2016 A1
20160312165 Lowe, Jr. et al. Oct 2016 A1
20170104009 Peng Apr 2017 A1
20170141777 Wu May 2017 A1
20180110975 Ivanoff et al. Apr 2018 A1
20180271799 Liu et al. Sep 2018 A1
Foreign Referenced Citations (10)
Number Date Country
105665043 Jun 2016 CN
H06186575 Jul 1994 JP
2008145998 Jun 2008 JP
2013076739 Apr 2013 JP
20070041934 Apr 2007 KR
200916823 Apr 2009 TW
1999067678 Dec 1999 WO
2000005704 Feb 2000 WO
2000036560 Jun 2000 WO
2000038000 Jun 2000 WO
Non-Patent Literature Citations (11)
Entry
Abdelgawad, Mohamed et al., “The Digital Revolution: A New Paradigm for Microfluidics”, Advanced Materials, vol. 21, pp. 920-925 (2009).
Zhao, Ya-Pu et al., “Fundamentals and Applications of Electrowetting: A Critical Review”, Rev. Adhesion Adhesives, vol. 1, No. 1, pp. 114-174 (2013).
Kalsi, S. et. al., “Rapid and sensitive detection of antibiotic resistance on a programmable digital microfluidic platform”, Lab on a Chip, Issue No. 14 (2015).
Choi, Kihwan et al., “Digital Microfluidicsc”, Annu. Rev. Anal. Chem. 5:413-40 (2012).
Dong, Tao et al., “Capacitance Variation Induced by Microfluidic Two-Phase Flow across Insulated Interdigital Electrodes in Lab-On-Chip Devices”, Sensors, 15, pp. 2694-2708 (2015).
Geronimo, G. De et al., “Front-end electronics for imaging detectors”, Nuclear Instrumentsand Methods in Physics Research A, 471 pp. 192-199, (2001).
Korean International Patent Office, PCT/US2018/056037, International Search Report and Written Opinion, dated Feb. 8, 2019.
Fouillet, Y. et al., “EWOD Digital Microfluidics for Lab on a Chip”, International Conference on Nanochannels, Microchannels, and Minichannels, Paper No. ICNMM2006-96020, pp. 1255-1264, (Sep. 2008).
Korean Intellectual Property Office, PCT/US2019/056173, International Search Report and Written Opinion, dated Jan. 31, 2020.
Panchagnula, R. et al., “Transdermal delivery of naloxone: skin permeation, pharmacokinetic, irritancy and stability studies”, International Journal of Pharmaceutics, 293(1-2), pp. 213-223, Apr. 11, 2005. Apr. 11, 2005.
Nisar, A. et al., “MEMS-based micropumps in drug delivery and biomedical applications”, Sensors and Actuators B: Chemical, vol. 130, Issue 2, pp. 917-942, Mar. 28, 2008. Mar. 28, 2008.
Related Publications (1)
Number Date Country
20190111433 A1 Apr 2019 US
Provisional Applications (1)
Number Date Country
62573846 Oct 2017 US