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

Jianyong Wang; Junchao Fan; Bo Zhou; Xiaoshuai Huang; Liangyi Chen

doi:10.1117/1.APN.2.1.016012

Journals >Advanced Photonics Nexus >Volume 2 >Issue 1 >Page 016012 > Article

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

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

Jianyong Wang^1、2、†, Junchao Fan³, Bo Zhou¹, Xiaoshuai Huang^4、5、*, and Liangyi Chen^{1、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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DOI: 10.1117/1.APN.2.1.016012 Cite this Article Set citation alerts

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[J]. Advanced Photonics Nexus, 2023, 2(1): 016012 Copy Citation Text

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