A method for restoring signals and revealing individual macromolecule states in cryo-ET, REST
Abstract Cryo-electron tomography (cryo-ET) is widely used to explore the 3D density of biomacromolecules. However, the heavy noise and missing wedge effect prevent directly visualizing and analyzing the 3D reconstructions. Here, we introduced REST, a deep learning strategy-based method to establish...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-38539-w |