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

Chang Qiao; Haoyu Chen; Run Wang; Tao Jiang; Yuwang Wang; Dong Li

doi:10.1364/PRJ.506778

Journals >Photonics Research >Volume 12 >Issue 3 >Page 474 > Article

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

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

Chang Qiao^1,2,†, Haoyu Chen^3,4,†, Run Wang^1,†, Tao Jiang^3,4..., Yuwang Wang^5,6 and Dong Li^3,4,*|Show fewer author(s)

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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DOI: 10.1364/PRJ.506778 Cite this Article Set citation alerts

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) Copy Citation Text

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