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公开(公告)号:US20230160879A1
公开(公告)日:2023-05-25
申请号:US17563701
申请日:2021-12-28
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Hsiang-Chun WEI , Chih-Hsiang LIU , Chung-Lun KUO , Chun-Wei LO , Chia-Hung CHO , Wei-Hsiung TSAI
CPC classification number: G01N33/505 , G06T7/0012 , G03H1/0443 , G03H1/0866 , G03H1/0005 , G01N15/1475 , G06T2207/30024 , G06T2207/10064 , G06T2207/10056 , G03H2001/0033 , G03H2001/005 , G06T2207/20081 , G06T2207/20084
Abstract: A method of training AI for label-free cell viability determination includes a step of providing a cell sample, a step of obtaining a fluorescence image and a DHM image of the cell sample, a step of determining a first cell viability of the cell sample according to the fluorescence image of the cell sample, a step of labeling the DHM image of the cell sample as a model specifying the first cell viability, and a step of performing AI training by using the model containing the DHM image of the cell sample.