High-throughput, single-cell optofluidic platform for point-of-care diagnosis

2019 Fiscal Year Annual Research Report

• Project/Area Number: 18F18716
• Research Institution: The University of Tokyo
• 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)
• 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
• Project Period (FY): 2018-10-12 – 2021-03-31
• Keywords: Optofluidics / imaging flow cytometry

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.

Research Progress Status

翌年度、交付申請を辞退するため、記入しない。

Strategy for Future Research Activity

翌年度、交付申請を辞退するため、記入しない。

Research Products

• [Journal Article] Virtual optofluidic time-stretch quantitative phase imaging (2020)
  • Author(s): 1.Haochen Yan, Yunzhao Wu, Yuqi Zhou, Muzhen Xu, Petra Paiè, Cheng Lei, Sheng Yan, and Keisuke Goda
  • Journal Title: APL Photonics Volume: 5, 046103 Pages: 1-10
  • DOI: 10.1063/1.5134125
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging (2020)
  • 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
  • Journal Title: Optics Express Volume: Vol. 28, Issue 1 Pages: 519-532
  • DOI: 10.1364/OE.380679
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Intelligent classification of platelet aggregates by agonist type (2020)
  • Author(s): 3.Yuqi Zhou, Atsushi Yasumoto, Cheng Lei, Chun-Jung Huang, Hirofumi Kobayashi, Yunzhao Wu, Sheng Yan, Chia-Wei Sun, Yutaka Yatomi, Keisuke Goda
  • Journal Title: eLife Volume: 9, e52938 Pages: -
  • DOI: 10.7554/eLife.52938
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Presentation] Isolation and identification of rare cells in whole blood by time-stretch microscopy with a microfluidic sorter (2019)
  • Author(s): Sheng Yan
  • Organizer: Advances in Microfluidics & Nanofluidics,
  • Int'l Joint Research / Invited