Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Abstract Computational super-resolution methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding performance, however, demanding abundant high-quality trai...

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Bibliographic Details
Main Authors: Chang Qiao, Yunmin Zeng, Quan Meng, Xingye Chen, Haoyu Chen, Tao Jiang, Rongfei Wei, Jiabao Guo, Wenfeng Fu, Huaide Lu, Di Li, Yuwang Wang, Hui Qiao, Jiamin Wu, Dong Li, Qionghai Dai
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-48575-9

Internet

https://doi.org/10.1038/s41467-024-48575-9

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