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Machine learning assisted interferometric structured illumination microscopy for dynamic biological imaging
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Structured Illumination Microscopy allows for the visualization of biological structures at resolutions below the diffraction limit, but this imaging modality is still hampered by high experimental complexity. Here, the authors present a combination of interferometry and machine learning to construct a structured illumination microscope for super resolution imaging of dynamic sub-cellular biological structures in multiple colors.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723 and 34640339
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.66f1b12be34640339d1e4a7bd953ad1d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-35307-0