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...

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Detalles Bibliográficos
Autores principales: Park, Hyoungjun, Na, Myeongsu, Kim, Bumju, Park, Soohyun, Kim, Ki Hean, Chang, Sunghoe, Ye, Jong Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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