Nature Communications (Mar 2020)

Virtual-freezing fluorescence imaging flow cytometry

  • Hideharu Mikami,
  • Makoto Kawaguchi,
  • Chun-Jung Huang,
  • Hiroki Matsumura,
  • Takeaki Sugimura,
  • Kangrui Huang,
  • Cheng Lei,
  • Shunnosuke Ueno,
  • Taichi Miura,
  • Takuro Ito,
  • Kazumichi Nagasawa,
  • Takanori Maeno,
  • Hiroshi Watarai,
  • Mai Yamagishi,
  • Sotaro Uemura,
  • Shinsuke Ohnuki,
  • Yoshikazu Ohya,
  • Hiromi Kurokawa,
  • Satoshi Matsusaka,
  • Chia-Wei Sun,
  • Yasuyuki Ozeki,
  • Keisuke Goda

DOI
https://doi.org/10.1038/s41467-020-14929-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

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High throughput imaging flow cytometry suffers from trade-offs between throughput, sensitivity and spatial resolution. Here the authors introduce a method to virtually freeze cells in the image acquisition window to enable 1000 times longer signal integration time and improve signal-to-noise ratio.