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Deep learning enables structured illumination microscopy with low light levels and enhanced speed

Authors :
Luhong Jin
Bei Liu
Fenqiang Zhao
Stephen Hahn
Bowei Dong
Ruiyan Song
Timothy C. Elston
Yingke Xu
Klaus M. Hahn
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

Super-resolution microscopy typically requires high laser powers which can induce photobleaching and degrade image quality. Here the authors augment structured illumination microscopy (SIM) with deep learning to reduce the number of raw images required and boost its performance under low light conditions.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.b59b1d9328d413d81e5520a618431fc
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-15784-x