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Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering.

Authors :
Yuta Suzuki
Koya Kobayashi
Yoshifumi Wakisaka
Dinghuan Deng
Shunji Tanaka
Chun-Jung Huang
Cheng Lei
Chia-Wei Sun
Hanqin Liu
Yasuhiro Fujiwaki
Sangwook Lee
Akihiro Isozaki
Yusuke Kasai
Takeshi Hayakawa
Shinya Sakuma
Fumihito Arai
Kenichi Koizumi
Hiroshi Tezuka
Mary Inaba
Kei Hiraki
Source :
Proceedings of the National Academy of Sciences of the United States of America; 8/6/2019, Vol. 116 Issue 32, p15842-15848, 7p
Publication Year :
2019

Abstract

Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ~140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
116
Issue :
32
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
138044245
Full Text :
https://doi.org/10.1073/pnas.1902322116