Dr. Atsushi Yasumoto Profile

Dr. Atsushi Yasumoto

at Univ of Tokyo

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Author

Publications (4)

Proceedings Article | 5 March 2021 Presentation

Real-time monitoring of blood clots in extracorporeal life support by intelligent platelet aggregate characterizer

Yuqi Zhou, Atsushi Yasumoto, Masako Nishikawa, Yuya Nobori, Ting-Hui Xiao, Yutaka Yatomi, Masaki Anraku, Keisuke Goda

Proceedings Volume 11654, 116540S (2021) https://doi.org/10.1117/12.2577425

KEYWORDS: Blood, Visualization, Lung, Ischemia, Image analysis, Flow cytometry, Diagnostics and therapeutics, Animal model studies

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Proceedings Article | 10 March 2020 Presentation

Simple, rapid and cost-effective drug-susceptibility testing of leukemia by intelligent whole-blood imaging flow cytometry (Conference Presentation)

Hirofumi Kobayashi, Cheng Lei, Yi Wu, Chun-Jung Huamg, Atsushi Yasumoto, Masahiro Jona, Wenxuan Li, Yaxiaer Yalikun, Baoshan Guo, Chia-Wei Sun, Yo Tanaka, Makoto Yamada, Yutaka Yatomi, Keisuke Goda

Proceedings Volume 11250, 112500Y (2020) https://doi.org/10.1117/12.2545017

KEYWORDS: Leukemia, Flow cytometry, Breast cancer, Blood, Cancer, Genomics, Liquids, Biopsy, Diagnostics

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Proceedings Article | 10 March 2020 Presentation

Classification of platelet aggregates by intelligent imaging flow cytometry (Conference Presentation)

Yuqi Zhou, Atsushi Yasumoto, Cheng Lei, Chun-Jung Huang, Hirofumi Kobayashi, Yunzhao Wu, Sheng Yan, Chia-Wei Sun, Yutaka Yatomi, Keisuke Goda

Proceedings Volume 11250, 112500W (2020) https://doi.org/10.1117/12.2544194

KEYWORDS: Flow cytometry, Blood, Microscopy, Digital imaging, Image analysis, Data analysis, Statistical analysis, Optofluidics, Convolutional neural networks, Diagnostics and therapeutics

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Proceedings Article | 24 April 2017 Presentation

High-throughput label-free detection of aggregate platelets with optofluidic time-stretch microscopy (Conference Presentation)

Yiyue Jiang, Cheng Lei, Atsushi Yasumoto, Takuro Ito, Baoshan Guo, Hirofumi Kobayashi, Yasuyuki Ozeki, Yutaka Yatomi, Keisuke Goda

Proceedings Volume 10076, 100760O (2017) https://doi.org/10.1117/12.2250109

KEYWORDS: In vivo imaging, Visualization, Digital image processing, Statistical analysis, Microscopy, Blood, Prostate cancer, Breast cancer, Spatial resolution, Microfluidics

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