Label-free Chemical Imaging Flow Cytometry by High-speed Multicolor Stimulated Raman Scattering

Overview

Journal Proc Natl Acad Sci U S A

Specialty Science

Date 2019 Jul 21

PMID 31324741

Citations 55

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

Takuro Ito

Misa Hase

Satoshi Matsusaka

Kiyotaka Shiba

Kanako Suga

Masako Nishikawa

Masahiro Jona

Yutaka Yatomi

Yaxiaer Yalikun

Yo Tanaka

Takeaki Sugimura

Nao Nitta

Keisuke Goda

Yasuyuki Ozeki

Affiliations

Soon will be listed here.

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.

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