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Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network.

, , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (7): 2853-2866 (2022)

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Real-time object detection and classification for high-speed asymmetric-detection time-stretch optical microscopy on FPGA., , , , , , , and . FPT, page 261-264. IEEE, (2016)A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy., , , , and . IEEE Trans. Biomed. Circuits Syst., 13 (4): 781-792 (2019)Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network., , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (7): 2853-2866 (2022)PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells., , , , , and . Bioinform., 36 (9): 2778-2786 (2020)Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning., , , and . IEEE J. Biomed. Health Informatics, 23 (5): 2091-2098 (2019)Periodically poled silicon (PePSi) for efficient and electronically-tuned nonlinear optics in silicon., , and . OFC/NFOEC, page 1-3. IEEE, (2013)High-throughput cellular imaging with high-speed asymmetric-detection time-stretch optical microscopy under FPGA platform., , , , , , , , and . ReConFig, page 1-6. IEEE, (2016)Human somatic label-free bright-field cell images., , and . (November 2018)