Details of the Researcher

PHOTO

Hiroshi Kanno
Section
Graduate School of Medicine
Job title
Assistant Professor

Research History 4

  • 2026/03 - Present
    Tohoku University　SiRIUS Institute of Medical Research　Assistant professor (joint appointment)

  • 2023/04 - Present
    The University of Tokyo　Graduate School of Science　Assistant professor (part-time)

  • 2023/04 - Present
    Tohoku University　Graduate School of Medicine　Assistant professor (full-time)

  • 2021/04 - 2023/03
    Japan Society for the Promotion of Science

Education 2

  • The University of Tokyo　Graduate School of Science Doctoral Program　Department of Chemistry

    2020/04 - 2023/03

  • The University of Tokyo　Graduate School of Science Master's Program　Chemistry Department

    2018/04 - 2020/03

Research Interests 6

  • Biophotonics

  • Large-scale data analysis

  • Machine learning

  • Flow cytometry

  • high-speed imaging

  • Optical engineering

Awards 10

  1. OSJ Best Paper Award

    2025/12　The Optical Society of Japan

  2. Young Scientist Presentation Award

    2025/09　The Japan Society of Applied Physics

  3. Konica Minolta Imaging Science Encouragement Award: Outstanding

    2025/03　Konica Minolta Science and Technology Foundation

  4. Best Presentation Award

    2025/02　SPIE Photonics West 2025

  5. Young Scientist Award

    2024/05　Quantum Life Science Society

  6. Konica Minolta Light Future Incentive Award

    2023/11　Konica Minolta Science and Technology Foundation

  7. School of Science Research award

    2023/03　The University of Tokyo, School of Science

  8. Serendipity Award

    2022/01　Serendipity Lab

  9. Best Poster Presentation Award

    2021/09　量子生命科学会第３回大会

  10. フォトンサイエンス国際卓越大学院プログラム（XPS）優秀賞

    2020/03　東京大学

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Papers 16

  1. Optical principles of high-speed fluorescence lifetime imaging microscopy for flow cytometry

    Hiroshi Kanno

    Optical Review　2026/07/13

    Publisher: Springer Science and Business Media LLC

    DOI： 10.1007/s10043-026-01045-7 　

    ISSN： 1340-6000

    eISSN： 1349-9432

    More details Close

    Abstract Fluorescence lifetime imaging microscopy (FLIM) has emerged as a powerful tool in biology and medicine, as it can circumvent experimental artifacts inherent to conventional fluorescence-intensity-based measurements. However, FLIM has traditionally suffered from limited imaging speed, primarily due to the requirement for time-resolved fluorescence detection. Recently, we developed a high-speed FLIM approach and demonstrated the acquisition of more than 10,000 cell images per second. This review introduces the key optical aspects underlying this high-speed FLIM to a broad readership. Specifically, simultaneous multi-point fluorescence lifetime measurement is achieved by generating and exploiting spatially dispersed, intensity-modulated dual-beam arrays. This unique excitation scheme enables efficient acceleration of FLIM while mitigating frequency-dependent bias arising from multi-component fluorescence lifetimes. The developed high-speed FLIM and FLIM-based flow cytometry are expected to serve as versatile imaging platforms for a wide range of biomedical applications.

  2. Associating the phenotypic expression of platelets with disease type through image-based single-cell profiling

    Huidong Wang, Masako Nishikawa, Yuqi Zhou, Ruoxi Yang, Junyu Chen, Hongqian Zhang, Yuma Ibayashi, Hiroshi Kanno, Makoto Kurano, Eriko Morishita, Yutaka Yatomi, Keisuke Goda

    Thrombosis Research　263　109768-109768　2026/07

    Publisher: Elsevier BV

    DOI： 10.1016/j.thromres.2026.109768 　

    ISSN： 0049-3848

  3. Single-pixel imaging flow cytometry for biomedical research

    Hiroshi Kanno, Zhiying Liu, Rio Sato, Hidenori Endo, Kuniyasu Niizuma, Keisuke Goda

    Inflammation and Regeneration　2025/12/12

    DOI： 10.1186/s41232-025-00401-5 　

  4. Frequency-Division Multiplexing: A New Frontier in Biomedical Imaging

    Hiroshi Kanno, Yuqi Zhou, Keisuke Goda

    Study on Optical Communications　51　250117　2025/12/10

  5. Serendipity Engineering with Photonics: Harnessing the Unexpected in Biology and Medicine(Invited paper)

    Kelvin C. M. Lee, Walker Peterson, Fabio Lisi, Tianben Ding, Kotaro Nojima, Hiroshi Kanno, Yuqi Zhou, Hiroyuki Matsumura, Yasutaka Kitahama, Ming Li, Petra Paie, Cheng Lei, Tamiki Komatsuzaki, Masahiro Sonoshita, Dino Di Carlo, Keisuke Goda

    Progress In Electromagnetics Research　184　14-23　2025/11/29

    Publisher: The Electromagnetics Academy

    DOI： 10.2528/pier25100702 　

    eISSN： 1559-8985

  6. High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects

    Hiroshi Kanno, Fan Li, Jongchan Park, Hidenori Endo, Kuniyasu Niizuma, Liang Gao, Keisuke Goda

    Biophotonics Discovery　2　(03)　2025/06/05

    Publisher: SPIE-Intl Soc Optical Eng

    DOI： 10.1117/1.bios.2.3.030901 　

    ISSN： 3005-4745

  7. Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets

    Kazutoshi Hirose, Satoshi Kodera, Masako Nishikawa, Masataka Sato, Yuqi Zhou, Hongqian Zhang, Shun Minatsuki, Junichi Ishida, NORIFUMI TAKEDA, Huidong Wang, Chuiming Kong, Yunjie Deng, Junyu Chen, Chenqi Zhang, Jun Akita, Yuma Ibayashi, Ruoxi Yang, Hiroshi Kanno, Nao Nitta, Takeaki Sugimura, Norihiko Takeda, Makoto Kurano, Yutaka Yatomi, Keisuke Goda

    Nature Communications　2025/05/15

    DOI： 10.1038/s41467-025-59664-8 　

    ISSN： 2041-1723

  8. Publisher Correction: High-throughput fluorescence lifetime imaging flow cytometry. International-journal

    Hiroshi Kanno, Kotaro Hiramatsu, Hideharu Mikami, Atsushi Nakayashiki, Shota Yamashita, Arata Nagai, Kohki Okabe, Fan Li, Fei Yin, Keita Tominaga, Omer Faruk Bicer, Ryohei Noma, Bahareh Kiani, Olga Efa, Martin Büscher, Tetsuichi Wazawa, Masahiro Sonoshita, Hirofumi Shintaku, Takeharu Nagai, Sigurd Braun, Jessica P Houston, Sherif Rashad, Kuniyasu Niizuma, Keisuke Goda

    Nature communications　16　(1)　582-582　2025/01/10

    DOI： 10.1038/s41467-025-55961-4 　

  9. High-throughput optical imaging technology for large-scale single-cell analysis of live Euglena gracilis

    Cheng Lei, Yuta Nakagawa, Yuzuki Nagasaka, Tianben Ding, Hiroshi Kanno, Chihana Toyokawa, Kuniyasu Niizuma, Kengo Suzuki, Ming Li, Anwar Sunna, Vladimir Hampl, Keisuke Goda

    TrAC Trends in Analytical Chemistry　180　117938-117938　2024/11

    Publisher: Elsevier BV

    DOI： 10.1016/j.trac.2024.117938 　

    ISSN： 0165-9936

  10. High-throughput fluorescence lifetime imaging flow cytometry

    Hiroshi Kanno, Kotaro Hiramatsu, Hideharu Mikami, Atsushi Nakayashiki, Shota Yamashita, Arata Nagai, Kohki Okabe, Fan Li, Fei Yin, Keita Tominaga, Omer Faruk Bicer, Ryohei Noma, Bahareh Kiani, Olga Efa, Martin Büscher, Tetsuichi Wazawa, Masahiro Sonoshita, Hirofumi Shintaku, Takeharu Nagai, Sigurd Braun, Jessica P. Houston, Sherif Rashad, Kuniyasu Niizuma, Keisuke Goda

    Nature Communications　15　7376　2024/09/04

    DOI： 10.1038/s41467-024-51125-y 　

  11. Real‐time intelligent classification of <scp>COVID</scp> ‐19 and thrombosis via massive image‐based analysis of platelet aggregates International-journal

    Chenqi Zhang, Maik Herbig, Yuqi Zhou, Masako Nishikawa, Mohammad Shifat‐E‐Rabbi, Hiroshi Kanno, Ruoxi Yang, Yuma Ibayashi, Ting‐Hui Xiao, Gustavo K. Rohde, Masataka Sato, Satoshi Kodera, Masao Daimon, Yutaka Yatomi, Keisuke Goda

    Cytometry Part A　103　(6)　492-499　2023/02

    Publisher: Wiley

    DOI： 10.1002/cyto.a.24721 　

    ISSN： 1552-4922

    More details Close

    Microvascular thrombosis is a typical symptom of COVID-19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID-19 samples and 101 non-COVID-19 thrombosis samples, resulting in a total of 6.3 million bright-field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on derived single-cell features for each population, we trained machine learning models for classification between COVID-19 and non-COVID-19 thrombosis, resulting in a patient testing accuracy of 75%. This result indicates that platelet formation differs between COVID-19 and non-COVID-19 thrombosis. All analysis steps were optimized for efficiency and implemented in an easy-to-use plugin for the image viewer napari, allowing the entire analysis to be performed within seconds on mid-range computers, which could be used for real-time diagnosis.

  12. Long‐term effects of Pfizer‐BioNTech COVID‐19 vaccinations on platelets International-journal

    Yuqi Zhou, Masako Nishikawa, Hiroshi Kanno, Ruoxi Yang, Yuma Ibayashi, Ting‐Hui Xiao, Walker Peterson, Maik Herbig, Nao Nitta, Shigeki Miyata, Yogendra Kanthi, Gustavo K. Rohde, Kyoji Moriya, Yutaka Yatomi, Keisuke Goda

    Cytometry Part A　103　(2)　162-167　2022/08/08

    Publisher: Wiley

    DOI： 10.1002/cyto.a.24677 　

    ISSN： 1552-4922

    More details Close

    There is a global concern about the safety of COVID-19 vaccines associated with platelet function. However, their long-term effects on overall platelet activity remain poorly understood. Here we address this problem by image-based single-cell profiling and temporal monitoring of circulating platelet aggregates in the blood of healthy human subjects, before and after they received multiple Pfizer-BioNTech (BNT162b2) vaccine doses over a time span of nearly 1 year. Results show no significant or persisting platelet aggregation trends following the vaccine doses, indicating that any effects of vaccinations on platelet turnover, platelet activation, platelet aggregation, and platelet-leukocyte interaction was insignificant.

  13. Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19 International-journal

    Masako Nishikawa, Hiroshi Kanno, Yuqi Zhou, Ting-Hui Xiao, Takuma Suzuki, Yuma Ibayashi, Jeffrey Harmon, Shigekazu Takizawa, Kotaro Hiramatsu, Nao Nitta, Risako Kameyama, Walker Peterson, Jun Takiguchi, Mohammad Shifat-E-Rabbi, Yan Zhuang, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Yunjie Deng, Hongqian Zhang, Shigeki Miyata, Gustavo K. Rohde, Wataru Iwasaki, Yutaka Yatomi, Keisuke Goda

    Nature Communications　12　7135　2021/12/09

    DOI： 10.1038/s41467-021-27378-2 　

    More details Close

    A characteristic clinical feature of COVID-19 is the frequent incidence of microvascular thrombosis. In fact, COVID-19 autopsy reports have shown widespread thrombotic microangiopathy characterized by extensive diffuse microthrombi within peripheral capillaries and arterioles in lungs, hearts, and other organs, resulting in multiorgan failure. However, the underlying process of COVID-19-associated microvascular thrombosis remains elusive due to the lack of tools to statistically examine platelet aggregation (i.e., the initiation of microthrombus formation) in detail. Here we report the landscape of circulating platelet aggregates in COVID-19 obtained by massive single-cell image-based profiling and temporal monitoring of the blood of COVID-19 patients (n = 110). Surprisingly, our analysis of the big image data shows the anomalous presence of excessive platelet aggregates in nearly 90% of all COVID-19 patients. Furthermore, results indicate strong links between the concentration of platelet aggregates and the severity, mortality, respiratory condition, and vascular endothelial dysfunction level of COVID-19 patients.

  14. High-speed single-pixel imaging by frequency-time-division multiplexing

    Hiroshi Kanno, Hideharu Mikami, Keisuke Goda

    Optics Letters　45　(8)　2339-2342　2020/04/09

    Publisher: The Optical Society

    DOI： 10.1364/ol.390345 　

    ISSN： 0146-9592

  15. Accurate classification of microalgae by intelligent frequency-division-multiplexed fluorescence imaging flow cytometry

    Jeffrey Harmon, Hideharu Mikami, Hiroshi Kanno, Takuro Ito, Keisuke Goda

    OSA Continuum　3　(3)　430-430　2020/02

    Publisher: The Optical Society

    DOI： 10.1364/osac.387523 　

    ISSN： 2578-7519

  16. Simple, stable, compact implementation of frequency-division-multiplexed microscopy by inline interferometry

    Hiroshi Kanno, Hideharu Mikami, Yasin Kaya, Yasuyuki Ozeki, Keisuke Goda

    Optics Letters　44　(3)　467-470　2019/01

    Publisher: The Optical Society

    DOI： 10.1364/ol.44.000467 　

    ISSN： 0146-9592

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Misc. 4

  1. Analysis of Platelet Aggregation by Optofluidic Imaging

    Yuqi ZHOU, Hiroshi KANNO, Masako NISHIKAWA, Ting-Hui XIAO, Kyoji MORIYA, Yutaka YATOMI, Keisuke GODA

    Journal of the Imaging Society of Japan　61　(6)　588-599　2022/12/10

  2. Analyzing circulating platelet aggregates in patients with COVID-19 by massive image-based single-cell profiling International-coauthorship

    Hiroshi KANNO, Yuqi ZHOU, Masako NISHIKAWA, Ting-Hui XIAO, Takuma SUZUKI, Yuma IBAYASHI, Jeffrey HARMON, Shigekazu TAKIZAWA, Kotaro HIRAMATSU, Nao NITTA, Risako KAMEYAMA, Walker PETERSON, Jun TAKIGUCHI, Mohammad SHIFAT-E-RABBI, Yan ZHUANG, Xuwang YIN, Abu Hasnat Mohammad RUBAIYAT, Yunjie DENG, Hongqian ZHANG, Shigeki MIYATA, Gustavo K. ROHDE, Wataru IWASAKI, Yutaka YATOMI, Keisuke GODA

    21　(1)　1　2022/03

  3. Time-Stretch Imaging for Diagnosis of COVID-19

    Yuqi ZHOU, Hiroshi KANNO, Ting-Hui XIAO, Rihito SHAKHMATOV, Yuma IBAYASHI, Masako NISHIKAWA, Yutaka YATOMI, Keisuke GODA

    The Review of Laser Engineering　49　(4)　228　2021/04

  4. 実用化に向けた周波数分割多重顕微鏡の小型化

    菅野寛志, 三上秀治, ヤシンカヤ, 小関 泰之, 合田圭介

    光学　49　2020

Presentations 20

  1. 蛍光寿命イメージングフローサイトメトリーの三次元展開 Invited

    菅野寛志, リボン, 新妻邦泰, 合田圭介

    日本顕微鏡学会第82回学術講演会　2026/05/27

  2. 高速単一ピクセルイメージング技術と細胞解析への応用 Invited

    菅野寛志

    日本光学会　2025/12/10

  3. 高速シングルピクセルイメージングの原理と応用 Invited

    菅野寛志

    コニカミノルタカレッジ「先端光学」　2025/12/03

  4. 超高速蛍光寿命顕微鏡の進展と将来展望 Invited

    菅野寛志, リボン, 新妻邦泰, 合田圭介

    第86回応用物理学会秋季学術講演会　2025/09/10

  5. デュアルビームアレイによる超高速蛍光寿命顕微鏡法

    菅野寛志, 新妻邦泰, 合田圭介

    第72回応用物理学会春季学術講演会　2025/03/15

  6. High-throughput FLIM flow cytometry with a continuous-wave laser International-presentation International-coauthorship

    Hiroshi Kanno, Kotaro Hiramatsu, Hideharu Mikami, Atsushi Nakayashiki, Shota Yamashita, Arata Nagai, Koki Okabe, Fan Li, Sigurd Braun, Jessica P. Houston, Sherif Rashad, Kuniyasu Niizuma, Keisuke Goda

    Photonics West, San Francisco　2025/01/25

  7. 蛍光寿命イメージングフローサイトメトリーの生命医学応用

    菅野寛志

    日本光学会　2024/11/30

    More details Close

    2023年コニカミノルタ光みらい若手奨励金の成果報告

  8. 超高速顕微イメージング技術の生命医学応用 Invited

    菅野寛志

    量子生命科学会第6回大会　2024/05/31

    More details Close

    若手優秀賞受賞記念講演

  9. 播種性血管内凝固における循環血小板凝集塊の解析

    西川 真子, Zhou Yuqi, 菅野 寛志, Yang Ruoxi, 小野 香織, Xiao Ting-Hui, 新田 尚, 矢冨 裕, 合田 圭介

    日本検査血液学会雑誌　2022/07

  10. 血小板凝集塊の大規模画像解析による血栓症とCOVID-19関連血栓症のアルゴリズム分類

    菅野 寛志, Zhang Chenqi, Herbig Maik, Zhou Yuqi, 西川 真子, Yang Ruoxi, 伊林 侑真, Xiao Ting-Hui, 矢冨 裕, 合田 圭介

    日本検査血液学会雑誌　2022/07

  11. mRNA COVID-19ワクチン接種の血小板への長期的影響

    周 雨奇, 西川 真子, 菅野 寛志, Yang Ruoxi, Xiao Ting-Hui, 矢冨 裕, 合田 圭介

    日本検査血液学会雑誌　2022/07

  12. COVID-19における血小板凝集塊の大規模イメージング解析

    西川 真子, 菅野 寛志, Zhou Yuqi, Xiao Ting-Hui, 新田 尚, 矢冨 裕, 合田 圭介

    日本血栓止血学会誌　2022/05

  13. High speed FLIM, high-throughput FLIM flow cytometry, and beyond

    Hiroshi Kanno, Hideharu Mikami, Hiramatsu Kotaro, Keisuke Goda

    Pacifichem　2021/12/21

  14. 情報通信技術を用いた超高速蛍光寿命顕微鏡による細胞イメージング

    菅野寛志, 三上秀治, 平松光太郎, 合田圭介

    量子生命科学会第3回大会　2021/09/16

  15. High-throughput FLIM flow cytometry

    Hiroshi Kanno, Hideharu Mikami, Keisuke Goda

    CYTO

  16. Ultrafast fluorescence lifetime imaging microscopy by frequency-division multiplexing

    Hiroshi Kanno, Hideharu Mikami, Keisuke Goda

    Photonics West BiOS, San Francisco　2020/02

  17. 周波数分割多重による超高速蛍光寿命イメージング

    菅野寛志, 三上秀治, 合田圭介

    第66回応用物理学会春季学術講演会　2019/03

  18. 周波数分割多重イメージングフローサイトメトリーによる微細藻類の高精度分類

    菅野寛志, ハーマンジェフリー, 三上秀治, 伊藤卓朗, 小関泰之, 合田圭介

    第79回応用物理学会秋季学術講演会　2018/09

  19. 小型実装された周波数分割多重共焦点顕微鏡による超高速生細胞イメージング

    菅野寛志, 三上秀治, 小関泰之, 合田圭介

    量子生命科学研究会第2回学術集会　2018/05

  20. インライン干渉計により小型・高安定化された超高速共焦点顕微鏡

    菅野寛志, 三上秀治, 小関泰之, 合田圭介

    第65回応用物理学会春季学術講演会　2018/03

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Industrial Property Rights 2

  1. FLUORESCENCE MICROSCOPE

    SONOSHITA Masahiro, HIRAMATSU Koutaro, MCCANN Phillip Charles, PETERSON Jorgen Walker, KANNO Hiroshi, HUANG Kangrui, KACENAUSKAITE Laura, GODA Keisuke

    Property Type: Patent

  2. 蛍光測定装置及び蛍光測定方法

    菅野寛志, 合田圭介, 平松光太郎, 三上秀治

    Property Type: Patent

Research Projects 6

  1. Development of a Gene Expression Estimation Method Using AI-Driven High-Speed Fluorescence Lifetime Imaging

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Challenging Research (Pioneering)

    Institution: Tohoku University

    2025/06/27 - 2028/03/31

  2. Muse細胞の無標識分取に向けた定量位相勾配イメージングフローサイトメトリー

    Offer Organization: 中谷財団

    System: 奨励研究

    2025/04 - 2027/03

  3. 大規模蛍光寿命画像プロファイリングによる新たな細胞アトラス構築への試み

    Offer Organization: 科研費

    System: 若手研究

    2024/04 - 2027/03

  4. 海外派遣（Photonics West 2025）

    菅野寛志

    Offer Organization: 中谷財団

    System: 交流助成

    Institution: 東北大学、東京大学

    2025/01 -

  5. Development of a 3D fluorescence lifetime imaging flow cytometer and analysis of drug response in cancer cell populations

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

    Category: Grant-in-Aid for JSPS Fellows

    Institution: The University of Tokyo

    2021/04/28 - 2023/03/31

  6. 脳腫瘍および腫瘍周辺細胞群の高精度イメージングフローサイトメトリー

    菅野寛志

    Offer Organization: 武田科学振興財団

    System: 医学系研究助成（精神・神経・脳領域）

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Teaching Experience 3

  1. 物理化学実験（分担）　東京大学

  2. 分子化学概論（分担講義）　東京大学

  3. 全学体験ゼミナール（理学部化学科）　東京大学

Media Coverage 12

  1. 細胞解析の新展開：世界最高速の蛍光寿命顕微鏡を開発

    東北大学

    2024/09/05

  2. 東大ら，世界最高速の蛍光寿命顕微鏡を開発

    オプトロニクスオンライン

    2024/09/05

    Type: Internet

  3. 東北大、細胞解析の新展開：世界最高速の蛍光寿命顕微鏡を開発

    日経バイオテク

    2024/09/05

    Type: Internet

  4. 細胞解析の新展開：世界最高速の蛍光寿命顕微鏡を開発

    東京大学

    2024/09/04

  5. 細胞解析の新展開：世界最高速の蛍光寿命顕微鏡を開発

    東北大学病院

    2024/09/04

  6. 東大・東北大など、世界最高速の蛍光寿命顕微鏡を開発

    日本経済新聞

    2024/09/04

    Type: Newspaper, magazine

  7. コロナ患者の重症化、高い精度で予測可能も…東大チームが英科学誌に論文

    読売新聞オンライン

    2021/12/26

    Type: Newspaper, magazine

  8. 東大、コロナ重症化と血小板凝集塊出現頻度に相関

    化学工業日報

    2021/12/10

    Type: Newspaper, magazine

  9. コロナ患者9割に血小板の塊 重症化予測に期待 東大など

    朝日新聞DIGITAL

    2021/12/09

    Type: Newspaper, magazine

  10. 新型コロナ “血小板の塊の数で重症化予測も” 研究結果発表

    NHK

    2021/12/09

    Type: TV or radio program

  11. 東大など、血小板で新型コロナの重症化リスクを予測

    日本経済新聞

    2021/12/09

    Type: Newspaper, magazine

  12. コロナ重症化 血小板の量から予測へ 東大など

    産経新聞

    2021/12

    Type: Newspaper, magazine

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