Virtual-freezing fluorescence imaging flow cytometry

Virtual-freezing fluorescence imaging flow cytometry

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.

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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Science
Q
Online Access:https://doaj.org/article/970eb547b4534e9b8248827dc2f21c9b
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Summary: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.

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