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Advanced Photonics Nexus, Volume. 2, Issue 1, 016012(2023)

Hybrid reconstruction of the physical model with the deep learning that improves structured illumination microscopy

Jianyong Wang1,2、†, Junchao Fan3, Bo Zhou1, Xiaoshuai Huang4,5、*, and Liangyi Chen1,6,7,8、*
Author Affiliations
  • 1Peking University, Institute of Molecular Medicine, College of Future Technology, Center for Life Sciences, State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Beijing, China
  • 2Peking University, School of Software and Microelectronics, Beijing, China
  • 3Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing Key Laboratory of Image Cognition, Chongqing, China
  • 4Peking University, Biomedical Engineering Department, Beijing, China
  • 5Peking University, International Cancer Institute, Beijing, China
  • 6PKU-IDG/McGovern Institute for Brain Research, Beijing, China
  • 7Beijing Academy of Artificial Intelligence, Beijing, China
  • 8National Biomedical Imaging Center, Beijing, China
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    Article index updated: Sep. 6, 2025

    The article is cited by 5 article(s) CLP online library. (Some content might be in Chinese.)
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    Jianyong Wang, Junchao Fan, Bo Zhou, Xiaoshuai Huang, Liangyi Chen, "Hybrid reconstruction of the physical model with the deep learning that improves structured illumination microscopy," Adv. Photon. Nexus 2, 016012 (2023)

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    Paper Information

    Category: Research Articles

    Received: Oct. 8, 2022

    Accepted: Dec. 21, 2022

    Published Online: Jan. 16, 2023

    The Author Email: Xiaoshuai Huang (hxs@hsc.pku.edu.cn), Liangyi Chen (lychen@pku.edu.cn)

    DOI:10.1117/1.APN.2.1.016012

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology