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Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy.

Fuente: PubMed

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Bibliographic Details
Main Authors:	Guo, Min, Wu, Yicong, Hobson, Chad M, Su, Yijun, Qian, Shuhao, Krueger, Eric, Christensen, Ryan, Kroeschell, Grant, Bui, Johnny, Chaw, Matthew, Zhang, Lixia, Liu, Jiamin, Hou, Xuekai, Han, Xiaofei, Lu, Zhiye, Ma, Xuefei, Zhovmer, Alexander, Combs, Christian, Moyle, Mark, Yemini, Eviatar, Liu, Huafeng, Liu, Zhiyi, Benedetto, Alexandre, La Riviere, Patrick, Colón-Ramos, Daniel, Shroff, Hari
Format:	Artículo científico
Language:	en
Published:	Nature communications 2025
Subjects:	Deep Learning Animals Caenorhabditis elegans Microscopy, Fluorescence Mice Image Processing, Computer-Assisted Neural Networks, Computer Microscopy, Confocal
Online Access:	Acceder al recurso
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