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Intelligent image-activated cell sorting: principles and applications (Conference Presentation)
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Paper Abstract

I present a newly developed machine intelligence technology called “Intelligent Image-Activated Cell Sorting” [Cell 175, 1 (2018)] that achieves real-time fluorescence-image-based intelligent cell sorting at a high throughput of ~100 events per second. This technology builds on a unique integration of high-throughput cell microscopy, focusing, and sorting techniques on a unique software-hardware platform and hence performs fully automated operation for data acquisition, data processing, decision making, and actuation. Also, I introduce the technology’s broad utility to addressing a fundamental biological question that cannot be answered by conventional technologies – how molecular architectures of cells are connected with their physiological functions.

Paper Details

Date Published: 4 March 2019
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Proc. SPIE 10882, Multiphoton Microscopy in the Biomedical Sciences XIX, 108821U (4 March 2019); doi: 10.1117/12.2515470
Show Author Affiliations
Keisuke Goda, The Univ. of Tokyo (Japan)
Nao Nitta, The Univ. of Tokyo (Japan)
Takeaki Sugimura, The Univ. of Tokyo (Japan)
Yoichiroh Hosokawa, Nara Institute of Science and Technology (Japan)
Sotaro Uemura, The Univ. of Tokyo (Japan)
Yasuyuki Ozeki, The Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 10882:
Multiphoton Microscopy in the Biomedical Sciences XIX
Ammasi Periasamy; Peter T. C. So; Karsten König, Editor(s)

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