Convolutional networks for supervised mining of molecular patterns within cellular context

Cryo-electron tomograms capture a wealth of structural information on the molecular constituents of cells and tissues. We present DeePiCt (deep picker in context), an open-source deep-learning framework for supervised segmentation and macromolecular complex localization in cryo-electron tomography....

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Detalles Bibliográficos
Autores principales: de Teresa-Trueba, Irene, Goetz, Sara K., Mattausch, Alexander, Stojanovska, Frosina, Zimmerli, Christian E., Toro-Nahuelpan, Mauricio, Cheng, Dorothy W. C., Tollervey, Fergus, Pape, Constantin, Beck, Martin, Diz-Muñoz, Alba, Kreshuk, Anna, Mahamid, Julia, Zaugg, Judith B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911354/
https://www.ncbi.nlm.nih.gov/pubmed/36690741
http://dx.doi.org/10.1038/s41592-022-01746-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911354/
https://www.ncbi.nlm.nih.gov/pubmed/36690741
http://dx.doi.org/10.1038/s41592-022-01746-2

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