A generalized deep neural network approach for improving resolution of fluorescence microscopy images

Zichen Jin; Qing He; Yang Liu; Kaige Wang

doi:10.1142/S1793545824500111

Journal of Innovative Optical Health Sciences, Volume. 17, Issue 6, 2450011(2024)

A generalized deep neural network approach for improving resolution of fluorescence microscopy images

Zichen Jin, Qing He, Yang Liu, and Kaige Wang^*

State Key Laboratory of Cultivation Base for Photoelectric Technology and Functional Materials, National Center for International Research of Photoelectric Technology & Nano-Functional Materials and Application, Key Laboratory of Photoelectronic Technology of Shaanxi Province, Institute of Photonics and Photon-Technology, Northwest University, Xi’an 710127, P. R. China

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Zichen Jin, Qing He, Yang Liu, Kaige Wang. A generalized deep neural network approach for improving resolution of fluorescence microscopy images[J]. Journal of Innovative Optical Health Sciences, 2024, 17(6): 2450011

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Paper Information

Category: Research Articles

Received: Mar. 27, 2024

Accepted: May. 8, 2024

Published Online: Nov. 13, 2024

The Author Email: Kaige Wang (wangkg@nwu.edu.cn)

DOI:10.1142/S1793545824500111

Topics

laser devices and laser physics

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Instrumentation, Measurement and Metrology