SSL Depth: self-supervised learning enables 16× speedup in confocal microscopy-based 3D surface imaging [Invited]

Ze-Hao Wang; Tong-Tian Weng; Xiang-Dong Chen; Li Zhao; Fang-Wen Sun

doi:10.3788/COL202422.060002

Chinese Optics Letters, Volume. 22, Issue 6, 060002(2024)

SSL Depth: self-supervised learning enables 16× speedup in confocal microscopy-based 3D surface imaging [Invited]

Ze-Hao Wang^1,2, Tong-Tian Weng^1,2, Xiang-Dong Chen^1,2,3, Li Zhao⁴, and Fang-Wen Sun^1,2,3、*

Author Affiliations

¹CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, China

²CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China

³Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China

⁴Anhui Golden-Shield 3D Technology Co., Ltd., Hefei 230011, China

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Ze-Hao Wang, Tong-Tian Weng, Xiang-Dong Chen, Li Zhao, Fang-Wen Sun, "SSL Depth: self-supervised learning enables 16× speedup in confocal microscopy-based 3D surface imaging [Invited]," Chin. Opt. Lett. 22, 060002 (2024)

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Paper Information

Special Issue: SPECIAL ISSUE ON QUANTUM IMAGING

Received: Jan. 23, 2024

Accepted: Feb. 26, 2024

Published Online: Jun. 18, 2024

The Author Email: Fang-Wen Sun (fwsun@ustc.edu.cn)

DOI:10.3788/COL202422.060002

CSTR:32184.14.COL202422.060002

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