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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...
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| Yayımlandı: | IUCrJ |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
International Union of Crystallography
2020
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| Konular: | |
| Online Erişim: | 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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