High-throughput, single-cell optofluidic platform for point-of-care diagnosis
| Project/Area Number |
18F18716
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 外国 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
合田 圭介 東京大学, 大学院理学系研究科(理学部), 教授 (70518696)
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| Co-Investigator(Kenkyū-buntansha) |
YAN SHENG 東京大学, 理学(系)研究科(研究院), 外国人特別研究員
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| Project Period (FY) |
2018-10-12 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2019: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2018: ¥800,000 (Direct Cost: ¥800,000)
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| Keywords | Optofluidics / imaging flow cytometry |
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| Outline of Annual Research Achievements |
Two breakthrough technologies are generated with the completion of this project. The first one is intelligent platelet aggregate classifier (iPAC) that performs high-throughput imaging and intelligent analysis of platelet aggregates produced by different agonists and classifies platelet aggregates by agonist type. Our finding that platelet aggregates can be classified by agonist type through their morphology is unprecedented as it has never been reported previously. The information about the driving factors behind the formation of platelet aggregates is expected to lead to a better understanding of the underlying mechanism of platelet aggregation and open a window on an entirely new class of clinical diagnostics, pharmacometrics, and therapeutics. The second one is the virtual optofluidic time-stretch quantitative phase imaging, which generates “virtual” phase images from their corresponding bright-field images by using a deep neural network trained with numerous pairs of bright-field and phase images and identifies cancer cells from white blood cells based on their bright-field and virtual phase images. The fellow, Dr Yan, has presented his work in a prestigious international conference (Australia and New Zealand Nanofluidics and Microfluidics conference). Meanwhile, 3 manuscripts are generated from this project.
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| Research Progress Status |
翌年度、交付申請を辞退するため、記入しない。
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| Strategy for Future Research Activity |
翌年度、交付申請を辞退するため、記入しない。
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Report
(2 results)
Research Products
(5 results)
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[Journal Article] Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging2020
Author(s)
2.Yunzhao Wu, Yuqi Zhou, Chun-Jung Huang, Hirofumi Kobayashi, Sheng Yan, Yasuyuki Ozeki, Yingli Wu, Chia-Wei Sun, Atsushi Yasumoto, Yutaka Yatomi, Cheng Lei, Keisuke Goda
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Journal Title
Optics Express
Volume: Vol. 28, Issue 1
Issue: 1
Pages: 519-532
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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