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A self-supervised workflow for particle picking in cryo-EM
High-resolution single-particle cryo-EM data analysis relies on accurate particle picking. To facilitate the particle picking process, a self-supervised workflow has been developed. This includes an iterative strategy, which uses a 2D class average to improve training particles, and a progressively...
Guardat en:
| Publicat a: | IUCrJ |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
International Union of Crystallography
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7340252/ https://ncbi.nlm.nih.gov/pubmed/32695418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S2052252520007241 |
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