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Neuromorphic-enabled video-activated cell sorting
by
Feng, Yongxiang
, Wang, Wenhui
, Liang, Fei
, Sui, Zhipeng
, Zhao, Rong
, You, Kaichao
, Chai, Huichao
, Zhu, Junwen
, Li, Guoqi
, Zhao, Jingjing
, He, Weihua
, Deng, Lei
, Hao, Haiqing
in
631/1647/1407/1492
/ 639/166/985
/ Cell morphology
/ Cell Separation - instrumentation
/ Cell Separation - methods
/ Cellular structure
/ Erythrocytes
/ Erythrocytes - cytology
/ Field of view
/ Firing pattern
/ Flow cytometry
/ Flow Cytometry - instrumentation
/ Flow Cytometry - methods
/ Humanities and Social Sciences
/ Humans
/ Information processing
/ Latency
/ Medical imaging
/ Microfluidics
/ Morphology
/ multidisciplinary
/ Neural networks
/ Neural Networks, Computer
/ Real time operation
/ Science
/ Science (multidisciplinary)
2024
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Neuromorphic-enabled video-activated cell sorting
by
Feng, Yongxiang
, Wang, Wenhui
, Liang, Fei
, Sui, Zhipeng
, Zhao, Rong
, You, Kaichao
, Chai, Huichao
, Zhu, Junwen
, Li, Guoqi
, Zhao, Jingjing
, He, Weihua
, Deng, Lei
, Hao, Haiqing
in
631/1647/1407/1492
/ 639/166/985
/ Cell morphology
/ Cell Separation - instrumentation
/ Cell Separation - methods
/ Cellular structure
/ Erythrocytes
/ Erythrocytes - cytology
/ Field of view
/ Firing pattern
/ Flow cytometry
/ Flow Cytometry - instrumentation
/ Flow Cytometry - methods
/ Humanities and Social Sciences
/ Humans
/ Information processing
/ Latency
/ Medical imaging
/ Microfluidics
/ Morphology
/ multidisciplinary
/ Neural networks
/ Neural Networks, Computer
/ Real time operation
/ Science
/ Science (multidisciplinary)
2024
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Neuromorphic-enabled video-activated cell sorting
by
Feng, Yongxiang
, Wang, Wenhui
, Liang, Fei
, Sui, Zhipeng
, Zhao, Rong
, You, Kaichao
, Chai, Huichao
, Zhu, Junwen
, Li, Guoqi
, Zhao, Jingjing
, He, Weihua
, Deng, Lei
, Hao, Haiqing
in
631/1647/1407/1492
/ 639/166/985
/ Cell morphology
/ Cell Separation - instrumentation
/ Cell Separation - methods
/ Cellular structure
/ Erythrocytes
/ Erythrocytes - cytology
/ Field of view
/ Firing pattern
/ Flow cytometry
/ Flow Cytometry - instrumentation
/ Flow Cytometry - methods
/ Humanities and Social Sciences
/ Humans
/ Information processing
/ Latency
/ Medical imaging
/ Microfluidics
/ Morphology
/ multidisciplinary
/ Neural networks
/ Neural Networks, Computer
/ Real time operation
/ Science
/ Science (multidisciplinary)
2024
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Journal Article
Neuromorphic-enabled video-activated cell sorting
2024
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Overview
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition. However, existing IACS frameworks suffer from the challenges of 3D information loss and processing latency dilemma in real-time sorting operation. Herein, we establish a neuromorphic-enabled video-activated cell sorter (NEVACS) framework, designed to achieve high-dimensional spatiotemporal characterization content alongside high-throughput sorting of particles in wide field of view. NEVACS adopts event camera, CPU, spiking neural networks deployed on a neuromorphic chip, and achieves sorting throughput of 1000 cells/s with relatively economic hybrid hardware solution (~$10 K for control) and simple-to-make-and-use microfluidic infrastructures. Particularly, the application of NEVACS in classifying regular red blood cells and blood-disease-relevant spherocytes highlights the accuracy of using video over a single frame (i.e., average error of 0.99% vs 19.93%), indicating NEVACS’ potential in cell morphology screening and disease diagnosis.
Existing image-activated cell sorting tools suffer from the challenges of 3D information loss and processing latency in real-time sorting operations. Here, the authors propose a neuromorphic-enabled video-activated cell sorter (NEVACS) framework, which achieves high-dimensional spatiotemporal characterization content and high-throughput sorting of particles.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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