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Deep learning enables structured illumination microscopy with low light levels and enhanced speed
- 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 :
- Science
Subjects
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