System design of multi-resolution microscopic correlation imaging based on deep learning

Yutong Liu; Yan Li; Lu Jin; Huaxu Tang; Shun Wang; Yucong Wu; Yueshu Feng

doi:10.3788/IRLA20220461

Infrared and Laser Engineering, Volume. 52, Issue 4, 20220461(2023)

System design of multi-resolution microscopic correlation imaging based on deep learning

Yutong Liu¹, Yan Li¹, Lu Jin², Huaxu Tang³, Shun Wang³, Yucong Wu³, and Yueshu Feng^3,4、*

Author Affiliations

¹School of Opto-Electronic Engineering, Changchun College of Electronic Technology, Changchun 130114, China

²Research Institute of Environmental Innovation (Suzhou), Tsinghua, Suzhou 215163, China

³Institute for Interdisciplinary Quantum Information Technology, Jilin Engineering Normal University, Changchun 130052, China

⁴Jilin Engineering Laboratory for Quantum Information Technology, Changchun 130052, China

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References(16)

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[16] [16] Bhardwaj K, Milosavljevic M, Chalfin A, et al. Collapsible linear blocks f superefficient super resolution[DBOL]. (20210317) [20220826]. https:arxiv.gabs2103.09404v1.

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Yutong Liu, Yan Li, Lu Jin, Huaxu Tang, Shun Wang, Yucong Wu, Yueshu Feng. System design of multi-resolution microscopic correlation imaging based on deep learning[J]. Infrared and Laser Engineering, 2023, 52(4): 20220461

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Paper Information

Category: Optical imaging

Received: Jul. 5, 2022

Accepted: --

Published Online: Jul. 4, 2023

The Author Email: Feng Yueshu (FengYS2020@163.com)

DOI:10.3788/IRLA20220461

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology