Hyperspectral imaging flow cytometry with spatial-temporal encoding enables high-throughput single-cell analysis for biomedical applications

被引：0

作者：

Weng, Yueyun ^{[1
,2
]}

Lei, Cheng ^{[1
,3
,4
]}

机构：

[1] Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China

[2] Wuhan Univ, Sch Power & Mech Engn, Key Lab Transients Hydraul Machinery, Minist Educ, Wuhan 430072, Peoples R China

[3] Wuhan Univ, Suzhou Inst, Suzhou 215000, Peoples R China

[4] Wuhan Univ, Shenzhen Inst, Shenzhen 518057, Peoples R China

来源：

DEVICE | 2024年 / 2卷 / 02期

基金：

国家重点研发计划;

关键词：

D O I：

10.1016/j.device.2024.100286

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Imaging flow cytometry is a powerful tool in scientific research and clinical settings. In a recent report in Device,1 1 Han and colleagues address the complexities and limited scalability of imaging flow cytometry developing a linear array spot excitation method that enables direct encoding and decoding of cell images and efficient integration with existing flow cytometers.

引用

页数：3

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