Recurrent neural network-based volumetric fluorescence microscopy

Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-based volumetric image inference framework that uses 2D images that are sparsely captured by a standard wide-field fluor...

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Detalles Bibliográficos
Autores principales: Huang, Luzhe, Chen, Hanlong, Luo, Yilin, Rivenson, Yair, Ozcan, Aydogan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985192/
https://www.ncbi.nlm.nih.gov/pubmed/33753716
http://dx.doi.org/10.1038/s41377-021-00506-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985192/
https://www.ncbi.nlm.nih.gov/pubmed/33753716
http://dx.doi.org/10.1038/s41377-021-00506-9

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