Cell damage evaluation by intelligent imaging flow cytometry.

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作者： Yifan,Yao ^[1] ; Li,He ^[2] ; Liye,Mei ^[1] ; Yueyun,Weng ^[1] ; Jin,Huang ^[3] ; Shubin,Wei ^[1] ; Rubing,Li ^[1] ; Sheng,Tian ^[1] ; Pan,Liu ^[2] ; Xiaolan,Ruan ^[2] ; Du,Wang ^[4] ; Fuling,Zhou ^[1] ; Cheng,Lei ^[2]

作者单位： The Institute of Technological Sciences, Wuhan University, Wuhan, China. ^[1] Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China. ^[2] The Key Laboratory of Transients in Hydraulic Machinery of Ministry of Education, School of Power and Mechanical Engineering, Wuhan University, Wuhan, China. ^[3] Department of Hematology, Renmin Hospital of Wuhan University, Wuhan, China. ^[4] Suzhou Institute of Wuhan University, Suzhou, China. ^[5]

关键词 acoustofluidic sorting biophysical phenotypic cell damage imaging flow cytometry machine learning microfluidics optical time-stretch imaging

主题词流式细胞术(Flow Cytometry);算法(Algorithms);白细胞(Leukocytes)

DOI 10.1002/cyto.a.24731

PMID 36966466

发布时间 2023-08-24

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