Photonics Research, Volume. 12, Issue 3, 474(2024)

Deep learning-based optical aberration estimation enables offline digital adaptive optics and super-resolution imaging On the Cover

Chang Qiao1,2、†, Haoyu Chen3,4、†, Run Wang1、†, Tao Jiang3,4, Yuwang Wang5,6, and Dong Li3,4、*
Author Affiliations
  • 1Department of Automation, Tsinghua University, Beijing 100084, China
  • 2Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China
  • 3National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
  • 4College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • 5Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
  • 6e-mail: wang-yuwang@mail.tsinghua.edu.cn
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    Chang Qiao, Haoyu Chen, Run Wang, Tao Jiang, Yuwang Wang, Dong Li, "Deep learning-based optical aberration estimation enables offline digital adaptive optics and super-resolution imaging," Photonics Res. 12, 474 (2024)

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    Paper Information

    Category: Imaging Systems, Microscopy, and Displays

    Received: Sep. 27, 2023

    Accepted: Dec. 20, 2023

    Published Online: Feb. 29, 2024

    The Author Email: Dong Li (lidong@ibp.ac.cn)

    DOI:10.1364/PRJ.506778

    CSTR:32188.14.PRJ.506778

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