DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
Sanchez-Garcia et al. present DeepEMhancer, a deep learning-based method that can automatically perform post-processing of raw cryo-electron microscopy density maps. The authors report that DeepEMhancer globally improves local quality of density maps, and may represent a useful tool for novel struct...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-07-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02399-1 |