Isotropic reconstruction for electron tomography with deep learning

Cryogenic electron tomography (cryoET) allows visualization of cellular structures in situ. However, anisotropic resolution arising from the intrinsic “missing-wedge” problem has presented major challenges in visualization and interpretation of tomograms. Here, we have developed IsoNet, a deep learn...

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Detalles Bibliográficos
Autores principales: Liu, Yun-Tao, Zhang, Heng, Wang, Hui, Tao, Chang-Lu, Bi, Guo-Qiang, Zhou, Z. Hong
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/PMC9617606/
https://www.ncbi.nlm.nih.gov/pubmed/36309499
http://dx.doi.org/10.1038/s41467-022-33957-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617606/
https://www.ncbi.nlm.nih.gov/pubmed/36309499
http://dx.doi.org/10.1038/s41467-022-33957-8

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