Programmable Array Research Articles

Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing.

The exotic properties of three-dimensional halide perovskites, such as mixed ionic-electronic conductivity and feasible ion migration, have enabled them to challenge traditional memristive materials. However, the poor moisture stability and difficulty in controlling ion transport due to their polycrystalline nature have hindered their use as a neuromorphic hardware. Recently, two-dimensional (2D) halide perovskites have emerged as promising artificial synapses owing to their phase versatility, microstructural anisotropy in electrical and optoelectronic properties, and excellent moisture resistance. However, their asymmetrical and nonlinear conductance changes still limit the efficiency of training and accuracy of inference. Here we achieve highly linear and symmetrical conductance changes in Dion-Jacobson 2D perovskites. We further build a 7 × 7 crossbar array based on analogue perovskite synapses, achieving a high device yield, low variation with synaptic weight storing capability, multi-level analogue states with long retention, and moisture stability over 7 months. We explore the potential of such devices in large-scale image inference via simulations and show an accuracy within 0.08% of the theoretical limit. The excellent device performance is attributed to the elimination of gaps between inorganic layers, allowing the halide vacancies to migrate homogeneously regardless of grain boundaries. This was confirmed by first-principles calculations and experimental analysis.

Multi-qubit gates and Schrödinger cat states in an optical clock.

Many-particle entanglement is a key resource for achieving the fundamental precision limits of a quantum sensor1. Optical atomic clocks2, the current state of the art in frequency precision, are a rapidly emerging area of focus for entanglement-enhanced metrology3-6. Augmenting tweezer-based clocks featuring microscopic control and detection7-10 with the high-fidelity entangling gates developed for atom-array information processing11,12 offers a promising route towards making use of highly entangled quantum states for improved optical clocks. Here we develop and use a family of multi-qubit Rydberg gates to generate Schrödinger cat states of the Greenberger-Horne-Zeilinger (GHZ) type with up to nine optical clock qubits in a programmable atom array. In an atom-laser comparison at sufficiently short dark times, we demonstrate a fractional frequency instability below the standard quantum limit (SQL) using GHZ states of up to four qubits. However, because of their reduced dynamic range, GHZ states of a single size fail to improve the achievable clock precision at the optimal dark time compared with unentangled atoms13. Towards overcoming this hurdle, we simultaneously prepare a cascade of varying-size GHZ states to perform unambiguous phase estimation over an extended interval14-17. These results demonstrate key building blocks for approaching Heisenberg-limited scaling of optical atomic clock precision.

AUTOMAP: Inferring Rank-Polymorphic Function Applications with Integer Linear Programming

Dynamically typed array languages such as Python, APL, and Matlab lift scalar operations to arrays and replicate scalars to fit applications. We present a mechanism for automatically inferring map and replicate operations in a statically-typed language in a way that resembles the programming experience of a dynamically-typed language while preserving the static typing guarantees. Our type system---which supports parametric polymorphism, higher-order functions, and top-level let-generalization---makes use of integer linear programming in order to find the minimum number of operations needed to elaborate to a well-typed program. We argue that the inference system provides useful and unsurprising guarantees to the programmer. We demonstrate important theoretical properties of the mechanism and report on the implementation of the mechanism in the statically-typed array programming language Futhark.

Compilation of Shape Operators on Sparse Arrays

We show how to build a compiler for a sparse array language that supports shape operators such as reshaping or concatenating arrays, in addition to compute operators. Existing sparse array programming systems implement generic shape operators for only some sparse data structures, reduce shape operators on other data structures to those, and do not support fusion. Our system compiles sparse array expressions to code that efficiently iterates over reshaped views of irregular sparse data structures, without needing to materialize temporary storage for intermediates. Our evaluation shows that our approach generates sparse array code competitive with popular sparse array libraries: our generated shape operators achieve geometric mean speed-ups of 1.66×–15.3× when compared to hand-written kernels in scipy.sparse and 1.67×–651× when compared to generic implementations in pydata/sparse. For operators that require data structure conversions in these libraries, our generated code achieves geometric mean speed-ups of 7.29×–13.0× when compared to scipy.sparse and 21.3×–511× when compared to pydata/sparse. Finally, our evaluation demonstrates that fusing shape and compute operators improves the performance of several expressions by geometric mean speed-ups of 1.22×–2.23×.

Extending Dynamic Blind Interaction: Microgap Discharge-Induced Flexible Virtual Electrotactile Braille.

Braille is an essential implement for the blind to communicate with outside, but traditional Braille is limited to a paper-based format that cannot directly provide real-time word information. In this work, a flexible virtual electrotactile Braille is proposed that can benefit the blind from blocked interaction. The Braille interface, S-shaped wires and a sphere electrode with a textile fingerstall integrated by silicone, offers flexibility and simultaneously generates the microgap through textile cracks, which achieves virtual electrotactile sensation by electrostatic discharge. Powered by a high-voltage triboelectric generator of 10.2 kV designed through the charge accumulation and induction strategy, the electrotactile stimulation is realized with a microgap discharge of only 40 μA current induced on the finger. A dynamic electrotactile Braille is finally assembled, controlled by a programmable relay array. The strategies of short circuit and voice reminder are employed, so that the recognition of dynamic Braille letters is realized with spatiotemporal electrotactile stimulation and high recognition accuracy. This virtual electrotactile Braille brings convenience for the blind to access the information world and illustrates its applications to promote virtual electrotactility in this special community.

Programmable Graphene e-Nose Sensor Arrays for Fast, Sensitive, and Label-Free Identification of Chemical Vapors

Conventional nanoelectronic chemical vapor sensors are mostly based on charge transfer mechanisms. The presence of vapor molecules interacts with the sensing material, resulting in changes in charge density in the channel; the resulting conductance change can subsequently be detected as changes in the current signals. This charge transfer-based mechanism naturally requires strong molecule-sensor interaction in order to achieve high sensitivity. However, the strong binding of analytes to the sensor surface will inevitably lead to slow response time and slow sensor recovery, making it unsuitable for applications requiring rapid monitoring of chemical vapors.To address this challenge, our groups previously demonstrated a new type of fast, sensitive, and broad-spectrum electronic vapor sensor by exploiting the fringing field capacitance effect in the graphene field-effect transistor (GFET). The typically trivial fringing field capacitance change due to analyte absorption is greatly amplified by both the graphene transistor and a micro-flow channel covering the surface of graphene. Different from the charge-transfer process in traditional sensors, when molecules of analytes flow through the surface of the graphene transistor, its local dielectric environment is altered which results in changes in the fringing capacitance. This molecular fringing gate effect can be amplified intrinsically by the large transconductance of the GFET. Instead of using AC spectroscopy, this capacitance change can be measured conveniently as a peak in DC current.1 In this work, a programmable graphene e-nose sensor array with electrical gates design and enhanced packaging will be demonstrated to achieve true label-free sensing and identification of chemical vapors. Individual graphene sensors within the 1D sensor array (up to 1 x 9) can be optimized to offer sensitive (down to picogram) and fast (sub-second) detection toward a variety of analytes. Figure 1 demonstrates the prototype of the graphene sensor array. Each sensor chip consists of two parts: an array of nine GFETs with a dimension of 15mm by 15mm (Figure 1(A)), and a 40cm long micro-column chip with a column width of 20-60 μm fabricated on a silicon wafer with 200nm of SiO2 by using DRIE (Deep Reactive Ion Etching) (Figure 1(B)). These two components were then bonded by epoxy and the assembled sensor chip is shown in Figure 1(C). The graphene transistor array was fabricated by transferring CVD graphene onto a silicon substrate with 200nm of thermally grown SiO2. Individual gold metal back gates were fabricated underneath the graphene film with 200nm Al2O3 deposited by ALD (atomic layer deposition) as the gate dielectric. Devices with single or multi-layer (up to 4 layers) graphene films were fabricated and tested.The fabricated graphene sensors have near-perfect device yield and a resistance range within 2 ~ 10 kΩ. Figure 1(D) and 1(E) shows the DC current signal changes of a typical sensor within the array when vapor-phase analytes of different masses were injected through a benchtop gas chromatography (GC) setup. 9 ng and 6 ng of Hexanal injection generated current peaks with peak heights of 0.8 μA and 0.5 μA, and peak width (full width at half maximum) of 1.8 seconds and 2 seconds, respectively. The high signal-to-noise ratio (~ 80 to 1) and the short response time demonstrate the high sensitivity and fast detection capability of the graphene sensor. Figure 1(E) shows a detailed sensitivity test from the injections of hexanal vapor of five different masses. The graphene sensor exhibits good linearity with a sensitivity of 79nA per nanogram of Hexanal and a 3σ detection limit of 380 picograms.We further tested the electrical gate tunability of the graphene sensor’s response. In order to eliminate the effect of graphene conductance modulation by the gate voltage, we normalize the peak height with the baseline current. As shown in Figure 1(F), when the gate voltage is programmed from -10V to +10V, the hexanal peak height is strengthened by approximately 30 percent. Similar gate voltage tuning is also observed on other analytes, such as acetone and hexanol.Our results clearly show the gate voltage tunability of the graphene sensor, suggesting a novel graphene sensor array using electrical programming rather than chemical functionalization to achieve selectivity. Combined with advanced data analysis tools, the graphene e-nose array has the potential to offer label-free chemical vapor sensing without the need to individually functionalize each sensor as in traditional e-nose devices. Furthermore, we will discuss the integration of the graphene e-nose sensor array with a micro-gas chromatography chip and a smartphone-sized custom PCB board for programming, readout, and Bluetooth data communication. W. Zang et al., Nano Lett., 21, 10301–10308 (2021). Figure 1

Quadrant darkfield (QDF) for label-free imaging of intracellular puncta.

Measuring changes in cellular structure and organelles is crucial for understanding disease progression and cellular responses to treatments. A label-free imaging method can aid in advancing biomedical research and therapeutic strategies. This study introduces a computational darkfield imaging approach named quadrant darkfield (QDF) to separate smaller cellular features from large structures, enabling label-free imaging of cell organelles and structures in living cells. Using a programmable LED array as illumination source, we vary the direction of illumination to encode additional information about the feature size within cells. This is possible due to the varying level of directional scattering produced by features based on their sizes relative to the wavelength of light used. QDF successfully resolved small cellular features without interference from larger structures. QDF signal is more consistent during cell shape changes than traditional darkfield. QDF signals correlate with flow cytometry side scatter measurements, effectively differentiating cells by organelle content. QDF imaging enhances the study of subcellular structures in living cells, offering improved quantification of organelle content compared to darkfield without labels. This method can be simultaneously performed with other techniques such as quantitative phase imaging to generate a multidimensional picture of living cells in real-time.

Integrated photonic fractional convolution accelerator

An integrated photonic circuit architecture to perform a modified-convolution operation based on the discrete fractional Fourier transform (DFrFT) is introduced. This is accomplished by utilizing two nonuniformly coupled waveguide lattices with equally spaced eigenmode spectra, the lengths of which are chosen so that the DFrFT and its inverse operations are achieved. A programmable modulator array is interlaced so that the required fractional convolution operation is performed. Numerical simulations demonstrate that the proposed architecture can effectively perform smoothing and edge detection tasks even for noisy input signals, which is further verified by electromagnetic wave simulations. Notably, mild lattice defects do not jeopardize the architecture performance, showing its resilience to manufacturing errors.

Characterization of quantum dot-like emitters in programmable arrays of nanowrinkles of 1L-WSe2

When combined with nanostructured substrates, two-dimensional semiconductors can be engineered with strain to tailor light–matter interactions on the nanoscale. Recently, room-temperature nanoscale exciton localization with controllable wrinkling in 1L-WSe2 was achieved using arrays of gold nanocones. Here, the characterization of quantum dot-like states and single-photon emitters in the 1L-WSe2/nanocone system is reported. The nanocones induce a wide range of strains, and as a result, a diverse ensemble of narrowband, potential single-photon emitters is observed. The distribution of emitter energies reveals that most reside in two spectrally isolated bands, leaving a less populated intermediate band that is spectrally isolated from the ensembles. The spectral isolation is advantageous for high-purity quantum light emitters, and anti-bunched emission from one of these states is confirmed up to 25 K. Although the spatial distribution of strain is expected to influence the orientation of the transition dipoles of the emitters, multimodal emission polarization anisotropy and atomic force microscopy reveal that the macroscopic orientation of the wrinkles is not a good predictor of dipole orientation. Finally, the emission is found to change with thermal cycling from 4 to 290 K and back to 4 K, highlighting the need to control factors such as temperature-induced strain to enhance the robustness of this quantum emitter platform. The initial characterization here shows that controlled nanowrinkles of 1L-WSe2 generate quantum light in addition to uncovering potential challenges that need to be addressed for their adoption into quantum photonic technologies.

Implementation of two-step gradual reset scheme for enhancing state uniformity of 2D hBN-based memristors for image processing

In-memory computing facilitates efficient parallel computing based on the programmable memristor crossbar array. Proficient hardware image processing can be implemented by utilizing the analog vector-matrix operation with multiple memory states of the nonvolatile memristor in the crossbar array. Among various materials, 2D materials are great candidates for a switching layer of nonvolatile memristors, demonstrating low-power operation and electrical tunability through their remarkable physical and electrical properties. However, the intrinsic device-to-device (D2D) variation of memristors within the crossbar array can degrade the accuracy and performance of in-memory computing. Here, we demonstrate hardware image processing using the fabricated 2D hexagonal boron nitride-based memristor to investigate the effects of D2D variation on the hardware convolution process. The image quality is evaluated by peak-signal-to-noise ratio, structural similarity index measure, and Pratt’s figure of merit and analyzed according to D2D variations. Then, we propose a novel two-step gradual reset programming scheme to enhance the conductance uniformity of multiple states of devices. This approach can enhance the D2D variation and demonstrate the improved quality of the image processing result. We believe that this result suggests the precise tuning method to realize high-performance in-memory computing.

FPGA Implementation of 256-Bit Key AES Algorithm

Abstract: The most popular network security technique for secure data transmission between two end users, particularly over a public network, is the AES algorithm, also known as the Rijndael algorithm. It may be found in all kinds of wired and wireless digital communication networks AES, a network security technique, uses 256 bits on an FPGA. An authorized cryptographic technique that can be used to secure electronic data is the Advanced Encryption Standard technique (AES), which is specified by the National Institute of Standards and Technology. Because they provide faster and more flexible solutions, reprogrammable devices like Field Programmable Arrays (FPGA) are a very appealing alternative for hardware implementation of the encryption algorithm AES. The effective FPGA implementation of advanced encryption standards (AES) is proposed in this research. The encryption code is written in the Verilog programming language. The AES Rijndael algorithm performs better than any other when implemented on FPGA. Other works are covered by this implementation to demonstrate its effectiveness. The block and key sizes in the design are 256, and an iterative looping technique is used. Bits, S-box implementation using lookup tables. This results in a low-complexity design that can readily achieve high throughput and low latency

Hybrid Transfer Printing of Liquid Metals and Allied Inks for Rapid Fabrication of Multifunctional Soft Electronics.

The newly emerging liquid metal flexible electronics are gaining increasing applications over the world due to their outstanding adaptability and printability. Here, we proposed a generalized purpose thermo-activated hybrid transfer printing method for the rapid fabrication of multifunctional soft electronics, which can significantly reduce the difficulty facing existing technologies. This printing involves two delivery and deposition processes of liquid metals and the allied inks (toners) based on their adhesion selection mechanisms. Through developing office supplies, the laser printer could directly print toner masks on soft substrates, such as polydimethylsiloxane film. The heating plate was applied to remove the toner sacrificial mask after rolling liquid metal inks, resulting in retaining the liquid metal circuits on the target substrate. For illustration, diverse materials and inks are adapted to the strategy of constructing flexible electronics. Particularly, colorful circuits, flexible heaters, transparent circuitry, and soft programmable light-emitting diode array displays with multilayer circuits have been fabricated and tested. This general and easily accessible method allows for the rapid acquisition of user-designed soft electronics and is expected to promote the widespread use of flexible electronics in e-skin, sensing, displays, etc.

Abstract PO1-18-07: Phase I trial of combination pembrolizumab and ruxolitinib in metastatic triple negative breast cancer

Abstract BACKGROUND: The amplification of genes PDL-1, PDL-2, and JAK2 on chromosome 9p24, known as the PDJ amplicon, has been identified in 15% of triple negative breast cancer (TNBC) and is associated with tumor infiltrating lymphocytes and elevated JAK2 mRNA, suggesting a coordinated inflammatory response in TNBC. Adding pembrolizumab to chemotherapy in KEYNOTE trials 355 and 522 has validated the use of PD-1 blockade in TNBC and redefined the standard of care. Despite preclinical data suggesting a role for targeting the IL- 6/JAK2/STAT3 pathway, the JAK1/JAK2 inhibitor ruxolitinib has not shown efficacy as a single Agent in breast cancer. This is the first phase I clinical trial evaluating the combination of pembrolizumab and ruxolitinib in the treatment of metastatic TNBC. METHODS: We conducted a phase I clinical trial with accrual from 2018 to 2023 at Mayo Clinic Arizona. Patients (n=12) received 200 mg of IV pembrolizumab per cycle (every 3 weeks) with 3+3 dose escalation of oral ruxolitinib twice a day (dose level 0: 10 mg PO BID, level 1: 15 mg PO BID, level 2: 20 mg PO BID). The primary endpoint was to determine the maximum tolerated dose (MTD) of ruxolitinib and secondary endpoints were treatment safety and efficacy. Clinical response was assessed by computed tomography of the chest, abdomen, and pelvis every 3 cycles. PD-L1 expression in tumor was measured by immunohistochemistry (IHC). The effect of the combined therapies on T and B cell populations were assessed by flow cytometry and antibody profiling of 695 tumor antigens and 8 viral antigens by nucleic acid protein programmable array. RESULTS: Twelve female patients with chemotherapy refractory metastatic TNBC were treated on study. All received 200 mg IV pembrolizumab every cycle. Due to rapid disease progression of three patients early after treatment initiation, eligibility was restricted to prohibit patients with extensive pulmonary disease or elevated LDH. Those patients were excluded from efficacy or correlative analysis. The most common toxicities were transaminitis (n=12), anemia/leukopenia (n=12), and fatigue (n=9). The majority of adverse events were grade 1 and occurred at dose level 2. There were 5 adverse events grade 3 or higher: respiratory or thoracic complications (n=3), hypertension (n=1), and abdominal pain (n=1), but MTD was not established. The median number of cycles was 4 for each dose level (range n=2.0-9.0) and the median time to progression was 3 months (range n=1.4-6.3). No patient had tumor response by RECIST v1.1 criteria and there was no association of disease stability with PD-L1 tumor expression by IHC. Circulating antibodies to tumor antigens remained stable, and viral-specific antibodies mildly decreased by month 2 in all patients at dose levels 0 and 1. Of the 7 patients reactive to TRIM21 autoantibodies, 2 patients had a transient increase at 2 months. CONCLUSIONS: The combination of pembrolizumab with ruxolitinib was well tolerated at all dose levels, and the number but not the severity of adverse events increased with higher ruxolitinib dose. Two of six patients in dose level 0 and 1 had stable disease for six months on treatment, suggesting that the lower dose levels of ruxolitinib (i.e. 10 mg PO BID) may have more activity in combination with pembrolizumab. Citation Format: Anelia Kassi, Jacqueline Carmona, Sarah M. Green, Heidi Kosiorek, Michael T. Barrett, Barbara A. Pockaj, Donald Northfelt, Karen S. Anderson. Phase I trial of combination pembrolizumab and ruxolitinib in metastatic triple negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-18-07.

Quantum sampling AC standard for electrical power metrology based on programmable Josephson junction series array

We report on the realization and preliminary validation of a quantum-based sampling power standard, based on a 1 V Programmable Josephson Voltage Standard (PJVS). The PJVS has been integrated into an existing sampling power standard along with a new synchronous multiplexer. Measurement scenarios for voltage and power measurements have been implemented and internally validated. Results of the measurement comparison against the Italian primary electrical power standard at 53Hz agree well within the respective uncertainties, and did not exceed 15μW/VA from 120V to 240V and 5A and any power factor. Likewise, measurements of alternating voltage up to a few kilohertz show good agreement when compared against AC/DC voltage transfer method. The article illustrates the quantum power standard and its main constituents, measurement scenario, comparison results and discussion, along with a preliminary estimation of the uncertainty budget.

Discovery of a Unique Set of Dog-Seroreactive Coccidioides Proteins Using Nucleic Acid Programmable Protein Array.

Valley Fever (VF), caused by fungi in the genus Coccidioides, is a prevalent disease in southwestern and western parts of the United States that affects both humans and animals, such as dogs. Although the immune responses to infection with Coccidioides spp. are not fully characterized, antibody-detection assays are used in conjunction with clinical presentation and radiologic findings to aid in the diagnosis of VF. These assays often use Complement Fixation (CF) and Tube Precipitin (TP) antigens as the main targets of IgG and IgM reactivity, respectively. Our group previously reported evidence of over 800 genes expressed at the protein level in C. posadasii. However, antibody reactivity to the majority of these proteins has never been explored. Using a new, high-throughput screening technology, the Nucleic Acid Programmable Protein Array (NAPPA), we screened serum specimens from dogs against 708 of these previously identified proteins for IgG reactivity. Serum from three separate groups of dogs was analyzed and revealed a small panel of proteins to be further characterized for immuno-reactivity. In addition to CF/CTS1 antigen, sera from most infected dogs showed antibody reactivity to endo-1,3-betaglucanase, peroxisomal matrix protein, and another novel reactive protein, CPSG_05795. These antigens may provide additional targets to aid in antibody-based diagnostics.

A Hybrid Architecture for Programmable Meta‐System Using a Few Active Elements

AbstractDigital coding and programmable metasurfaces stand out as promising candidates in future wireless communications due to their low costs and fast‐action reprogrammable capability. However, 2 significant obstacles, namely integration and power consumption, must be addressed before large‐scale engineering application of the programmable metasurface. This work proposes an easy‐integration and energy‐saving meta‐system and demonstrates its application in wireless communications. The meta‐system features a hybrid architecture and consists of a programmable feed array and a metasurface lens. The feed array comprises 3 subarrays, in which active elements are doped with passive elements and interconnected configurations are used to efficiently reduce the number of active elements by one‐third. The meta‐lens acts as a passive phase shifter to enhance the beamforming performance, further reducing the number of active elements. Moreover, the meta‐system can switch between different modes to achieve various functions. In particular, the maximum power consumption of the meta‐system is only 54 mW, which can be considered nearly passive. A wireless communication experiment is presented, where the meta‐system simultaneously serves as the direct digital modulator and the transmitting antenna. Owing to the low cost, high integration, and nearly passive and programmable features, the meta‐system has remarkable potential for future applications in wireless communications.

Comparison of power consumption in pipelined implementations of the BLAKE3 cipher in FPGA devices

This article analyzes the dynamic power losses generated by various hardware implementations of the BLAKE3 hash function. Estimations of the parameters were based on the results of post-route simulations of designs implemented in Xilinx Spartan-7 FPGAs. The algorithm was tested in various hardware organizations: based on a standard iterative architecture with one round instance in the programmable array, various derived versions with pipeline processing were elaborated, which ultimately led to a set of 6 architectural variants of the cipher, from the iterative case (without pipeline) to one with maximum of 6 pipeline stages. Moreover, the results obtained for the iterative architecture were compared with analogous implementations of the BLAKE2 (direct predecessor) and KECCAK (the foundation of the current SHA-3 standard) algorithms. This case study illustrates the differences (or lack thereof) in the power requirements of these three hash functions when they are implemented on an FPGA platform, and illustrate the significant savings that can be achieved by introducing pipeline to the processing of the BLAKE round.

A programmable hybrid digital chemical information processor based on the Belousov-Zhabotinsky reaction

The exponential growth of the power of modern digital computers is based upon the miniaturization of vast nanoscale arrays of electronic switches, but this will be eventually constrained by fabrication limits and power dissipation. Chemical processes have the potential to scale beyond these limits by performing computations through chemical reactions, yet the lack of well-defined programmability limits their scalability and performance. Here, we present a hybrid digitally programmable chemical array as a probabilistic computational machine that uses chemical oscillators using Belousov-Zhabotinsky reaction partitioned in interconnected cells as a computational substrate. This hybrid architecture performs efficient computation by distributing information between chemical and digital domains together with inbuilt error correction logic. The efficiency is gained by combining digital logic with probabilistic chemical logic based on nearest neighbour interactions and hysteresis effects. We demonstrated the computational capabilities of our hybrid processor by implementing one- and two-dimensional Chemical Cellular Automata demonstrating emergent dynamics of life-like entities called Chemits. Additionally, we demonstrate hybrid probabilistic logic as a viable logic for solving combinatorial optimization problems.

Active-matrix digital microfluidics design for field programmable high-throughput digitalized liquid handling

Digital liquid sample handling is an enabling tool for cutting-edge life-sciences research. We present here an active-matrix thin-film transistor (TFT) based digital microfluidics system, referred to as Field Programmable Droplet Array (FPDA). The system contains 256×256 pixels in an active area of 10.65cm2, which can manipulate thousands of addressable liquid droplets simultaneously. By leveraging a novel TFT device and circuits design solution, we manage to programmatically manipulate droplets at single-pixel level. The minimum achievable droplet volume is around 0.5 nL, which is two orders of magnitude smaller than the smallest droplet ever reported on active-matrix digital microfluidics. The movement of droplets can be either pre-programmed or controlled in real-time. The FPDA system shows great potential of the ubiquitous thin-film electronics technology in digital liquid handling. These efforts will make it possible to create a true programmable lab-on-a-chip device to enable great advances in life science research.

Plug-and-play DPC-based quantitative phase microscope.

Point-of-care testing (POCT) plays an increasingly important role in biomedical research and health care. Quantitative phase microscopes (QPMs) with good contrast, no invasion, no labeling, high speed and automation could be effectively applied for POCT. However, most QPMs are fixed on the optical platform with bulky size, lack of timeliness, which remained challenging in POCT solutions. In this paper, we proposed a plug-and-play QPM with multimode imaging based on the quantitative differential phase contrast (qDPC) method. The system employs a programmable LED array as the light source and uses the GPU to accelerate the calculation, which can realize multi-contrast imaging with six modes. Accurate phase measurement and real-time phase imaging are implemented by the proposed qDPC algorithms for quantitative phase targets and biomedical samples. A 3D electric control platform is designed for mechanical control of field of view and focusing without manual operations. The experimental results verify the robustness and high performance of the setup. Even a rookie could finish the POCT scheme for biomedical applications at the scene using the QPM with a compact size of 140 × 165 × 250 mm3.