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.
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-14929-2 |
| _version_ | 1818980079333539840 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Hideharu Mikami |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T17:09:43Z |
| format | Article |
| id | doaj.art-970eb547b4534e9b8248827dc2f21c9b |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T17:09:43Z |
| publishDate | 2020-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-970eb547b4534e9b8248827dc2f21c9b2022-12-21T19:32:11ZengNature PortfolioNature Communications2041-17232020-03-0111111110.1038/s41467-020-14929-2Virtual-freezing fluorescence imaging flow cytometryHideharu Mikami0Makoto Kawaguchi1Chun-Jung Huang2Hiroki Matsumura3Takeaki Sugimura4Kangrui Huang5Cheng Lei6Shunnosuke Ueno7Taichi Miura8Takuro Ito9Kazumichi Nagasawa10Takanori Maeno11Hiroshi Watarai12Mai Yamagishi13Sotaro Uemura14Shinsuke Ohnuki15Yoshikazu Ohya16Hiromi Kurokawa17Satoshi Matsusaka18Chia-Wei Sun19Yasuyuki Ozeki20Keisuke Goda21Department of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoDepartment of Chemistry, The University of TokyoCenter for Stem Cell Biology and Regenerative Medicine, The University of TokyoCenter for Stem Cell Biology and Regenerative Medicine, The University of TokyoCenter for Stem Cell Biology and Regenerative Medicine, The University of TokyoDepartment of Biological Sciences, The University of TokyoDepartment of Biological Sciences, The University of TokyoDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of TokyoDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of TokyoDepartment of Clinical Research and Regional Innovation, Faculty of Medicine, University of TsukubaDepartment of Clinical Research and Regional Innovation, Faculty of Medicine, University of TsukubaDepartment of Photonics, National Chiao Tung UniversityDepartment of Electrical Engineering and Information Systems, The University of TokyoDepartment of Chemistry, The University of TokyoHigh 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.https://doi.org/10.1038/s41467-020-14929-2 |
| spellingShingle | 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 Virtual-freezing fluorescence imaging flow cytometry Nature Communications |
| title | Virtual-freezing fluorescence imaging flow cytometry |
| title_full | Virtual-freezing fluorescence imaging flow cytometry |
| title_fullStr | Virtual-freezing fluorescence imaging flow cytometry |
| title_full_unstemmed | Virtual-freezing fluorescence imaging flow cytometry |
| title_short | Virtual-freezing fluorescence imaging flow cytometry |
| title_sort | virtual freezing fluorescence imaging flow cytometry |
| url | https://doi.org/10.1038/s41467-020-14929-2 |
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