A deep learning approach to the automatic detection of alignment errors in cryo-electron tomographic reconstructions
Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.jsb.2023.108056.
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/358505 |
| Acceso en línea: | http://hdl.handle.net/10261/358505 https://api.elsevier.com/content/abstract/scopus_id/85180588375 |
| Access Level: | acceso abierto |
| Sumario: | Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.jsb.2023.108056. |
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