Nature Communications (Jul 2020)

Raman image-activated cell sorting

  • 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 Fukuzawa,
  • Misa Hase,
  • Tomohisa Hasunuma,
  • Takeshi Hayakawa,
  • Kei Hiraki,
  • Kotaro Hiramatsu,
  • Yu Hoshino,
  • Mary Inaba,
  • Yuki Inoue,
  • Takuro Ito,
  • Masataka Kajikawa,
  • Hiroshi Karakawa,
  • Yusuke Kasai,
  • Yuichi Kato,
  • Hirofumi Kobayashi,
  • Cheng Lei,
  • Satoshi Matsusaka,
  • Hideharu Mikami,
  • Atsuhiro Nakagawa,
  • Keiji Numata,
  • Tadataka Ota,
  • Takeichiro Sekiya,
  • Kiyotaka Shiba,
  • Yoshitaka Shirasaki,
  • Nobutake Suzuki,
  • Shunji Tanaka,
  • Shunnosuke Ueno,
  • Hiroshi Watarai,
  • Takashi Yamano,
  • Masayuki Yazawa,
  • Yusuke Yonamine,
  • Dino Di Carlo,
  • Yoichiroh Hosokawa,
  • Sotaro Uemura,
  • Takeaki Sugimura,
  • Yasuyuki Ozeki,
  • Keisuke Goda

DOI
https://doi.org/10.1038/s41467-020-17285-3
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 16

Abstract

Read online

Most current cell sorting methods are based on fluorescence detection with no imaging capability. Here the authors generate and use Raman image-activated cell sorting with a throughput of around 100 events per second, providing molecular images with no need for labeling.