Correction: Enhancing image resolution of confocal fluorescence microscopy with deep learning-Reference-Cited by-同舟云学术

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Correction: Enhancing image resolution of confocal fluorescence microscopy with deep learning

Published:2023-01-19 Issue:1 Volume:4 Page:
ISSN:2662-1991
Container-title:PhotoniX
language:en
Short-container-title:PhotoniX

Author:

Huang Boyi,Li Jia,Yao Bowen,Yang Zhigang,Lam Edmund Y.,Zhang Jia,Yan Wei,Qu Junle

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics,Electrical and Electronic Engineering,Engineering (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1186/s43074-023-00083-7.pdf

Reference1 articles.

1. Huang B, et al. Enhancing image resolution of confocal fluorescence microscopy with deep learning. PhotoniX. 2023;4:2.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Microwire-based multifunctional microsensors for high-performance humidity and strain sensing;Applied Physics Letters;2024-01-01

2. Applications of deep learning for confocal fluorescence microscopy image quality enhancement using unpaired data;2023 2nd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE);2023-11-03

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