TY - JOUR
T1 - Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering
AU - Suzuki, Yuta
AU - Kobayashi, Koya
AU - Wakisaka, Yoshifumi
AU - Deng, Dinghuan
AU - Tanaka, Shunji
AU - Huang, Chun Jung
AU - Lei, Cheng
AU - Sun, Chia Wei
AU - Liu, Hanqin
AU - Fujiwaki, Yasuhiro
AU - Lee, Sangwook
AU - Isozaki, Akihiro
AU - Kasai, Yusuke
AU - Hayakawa, Takeshi
AU - Sakuma, Shinya
AU - Arai, Fumihito
AU - Koizumi, Kenichi
AU - Tezuka, Hiroshi
AU - Inaba, Mary
AU - Hiraki, Kei
AU - Ito, Takuro
AU - Hase, Misa
AU - Matsusaka, Satoshi
AU - Shiba, Kiyotaka
AU - Suga, Kanako
AU - Nishikawa, Masako
AU - Jona, Masahiro
AU - Yatomi, Yutaka
AU - Yalikun, Yaxiaer
AU - Tanaka, Yo
AU - Sugimura, Takeaki
AU - Nitta, Nao
AU - Goda, Keisuke
AU - Ozeki, Yasuyuki
N1 - Funding Information:
ACKNOWLEDGMENTS. This work was funded mainly by the ImPACT Program of the Council for Science, Technology and Innovation (Cabinet Office, Government of Japan).
Publisher Copyright:
© 2019 National Academy of Sciences. All rights reserved.
PY - 2019/8/6
Y1 - 2019/8/6
N2 - 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.
AB - 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.
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U2 - 10.1073/pnas.1902322116
DO - 10.1073/pnas.1902322116
M3 - Article
C2 - 31324741
AN - SCOPUS:85070241957
SN - 0027-8424
VL - 116
SP - 15842
EP - 15848
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 32
ER -
