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Raman image-activated cell sorting

Author

Listed:
  • Nao Nitta

    (The University of Tokyo
    Japan Science and Technology Agency
    CYBO)

  • Takanori Iino

    (The University of Tokyo)

  • Akihiro Isozaki

    (The University of Tokyo
    Kanagawa Institute of Industrial Science and Technology)

  • Mai Yamagishi

    (The University of Tokyo)

  • Yasutaka Kitahama

    (The University of Tokyo)

  • Shinya Sakuma

    (Nagoya University)

  • Yuta Suzuki

    (The University of Tokyo)

  • Hiroshi Tezuka

    (The University of Tokyo)

  • Minoru Oikawa

    (Kochi University)

  • Fumihito Arai

    (Nagoya University)

  • Takuya Asai

    (The University of Tokyo)

  • Dinghuan Deng

    (The University of Tokyo)

  • Hideya Fukuzawa

    (Kyoto University)

  • Misa Hase

    (The University of Tokyo)

  • Tomohisa Hasunuma

    (Kobe University
    Kobe University)

  • Takeshi Hayakawa

    (Chuo University)

  • Kei Hiraki

    (The University of Tokyo)

  • Kotaro Hiramatsu

    (The University of Tokyo)

  • Yu Hoshino

    (Kyushu University)

  • Mary Inaba

    (The University of Tokyo)

  • Yuki Inoue

    (The University of Tokyo)

  • Takuro Ito

    (The University of Tokyo
    Japan Science and Technology Agency)

  • Masataka Kajikawa

    (Kyoto University)

  • Hiroshi Karakawa

    (The University of Tokyo)

  • Yusuke Kasai

    (Nagoya University)

  • Yuichi Kato

    (Kobe University)

  • Hirofumi Kobayashi

    (The University of Tokyo)

  • Cheng Lei

    (The University of Tokyo
    Wuhan University)

  • Satoshi Matsusaka

    (University of Tsukuba
    Japanese Foundation for Cancer Research)

  • Hideharu Mikami

    (The University of Tokyo)

  • Atsuhiro Nakagawa

    (Tohoku University)

  • Keiji Numata

    (RIKEN Center for Sustainable Resource Science)

  • Tadataka Ota

    (The University of Tokyo)

  • Takeichiro Sekiya

    (The University of Tokyo)

  • Kiyotaka Shiba

    (Cancer Institute of Japanese Foundation for Cancer Research)

  • Yoshitaka Shirasaki

    (The University of Tokyo)

  • Nobutake Suzuki

    (The University of Tokyo)

  • Shunji Tanaka

    (The University of Tokyo)

  • Shunnosuke Ueno

    (The University of Tokyo)

  • Hiroshi Watarai

    (The University of Tokyo)

  • Takashi Yamano

    (Kyoto University)

  • Masayuki Yazawa

    (Columbia University)

  • Yusuke Yonamine

    (Hokkaido University)

  • Dino Carlo

    (The University of Tokyo
    University of California
    University of California
    University of California)

  • Yoichiroh Hosokawa

    (Nara Institute of Science and Technology)

  • Sotaro Uemura

    (The University of Tokyo)

  • Takeaki Sugimura

    (The University of Tokyo
    Japan Science and Technology Agency
    CYBO)

  • Yasuyuki Ozeki

    (The University of Tokyo)

  • Keisuke Goda

    (The University of Tokyo
    Japan Science and Technology Agency
    Wuhan University
    University of California)

Abstract

The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies.

Suggested Citation

  • Nao Nitta & Takanori Iino & Akihiro Isozaki & Mai Yamagishi & Yasutaka Kitahama & Shinya Sakuma & Yuta Suzuki & Hiroshi Tezuka & Minoru Oikawa & Fumihito Arai & Takuya Asai & Dinghuan Deng & Hideya Fu, 2020. "Raman image-activated cell sorting," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17285-3
    DOI: 10.1038/s41467-020-17285-3
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