Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy im...
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes
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Author / Creator
Chen, Jiji , Sasaki, Hideki , Lai, Hoyin , Su, Yijun , Liu, Jiamin , Wu, Yicong , Zhovmer, Alexander , Combs, Christian A. , Rey-Suarez, Ivan , Chang, Hung-Yu , Huang, Chi Chou , Li, Xuesong , Guo, Min , Nizambad, Srineil , Upadhyaya, Arpita , Lee, Shih-Jong J. , Lucas, Luciano A. G. and Shroff, Hari
Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
We demonstrate residual channel attention networks (RCAN) for the restoration and enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data. First we modify RCAN to handle image volumes, showing that our network enables denoising competitive with three other state-of-the-art neural networks. We use RCAN to restore noisy f...
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Full title
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes
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Record Identifier
TN_cdi_proquest_miscellaneous_2535833715
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2535833715
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-021-01155-x
