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Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy
Volumetric imaging by fluorescence microscopy is often limited by anisotropic spatial resolution, in which the axial resolution is inferior to the lateral resolution. To address this problem, we present a deep-learning-enabled unsupervised super-resolution technique that enhances anisotropic images...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178036/ https://www.ncbi.nlm.nih.gov/pubmed/35676288 http://dx.doi.org/10.1038/s41467-022-30949-6 |