Fast Super-Resolution Fluorescence Microscopy Imaging with Low Signal-to-Noise Ratio Based on Deep Learning

Xiao Kang; Tian Lijun; Wang Zhongyang

doi:10.3788/CJL202047.1007002

Chinese Journal of Lasers, Volume. 47, Issue 10, 1007002(2020)

Fast Super-Resolution Fluorescence Microscopy Imaging with Low Signal-to-Noise Ratio Based on Deep Learning

Xiao Kang¹, Tian Lijun¹, and Wang Zhongyang²

Author Affiliations

¹Physics Department, College of Science, Shanghai University, Shanghai 200444, China

²Research Center of Quantum Engineering and Technology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

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Xiao Kang, Tian Lijun, Wang Zhongyang. Fast Super-Resolution Fluorescence Microscopy Imaging with Low Signal-to-Noise Ratio Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(10): 1007002

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Paper Information

Category: biomedical photonics and laser medicine

Received: Apr. 28, 2020

Accepted: --

Published Online: Oct. 9, 2020

The Author Email:

DOI:10.3788/CJL202047.1007002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology