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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Detalles Bibliográficos
Autores principales: McSweeney, Donal M., McSweeney, Sean M., Liu, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340252/
https://www.ncbi.nlm.nih.gov/pubmed/32695418
http://dx.doi.org/10.1107/S2052252520007241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340252/
https://www.ncbi.nlm.nih.gov/pubmed/32695418
http://dx.doi.org/10.1107/S2052252520007241

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