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.

Bibliographic Details
Authors:	de Isidro Gómez, Federico P., Vilas, J L, Losana, Patricia, Carazo, José M., Sorzano, Carlos Óscar S.
Format:	article
Status:	Published version
Publication Date:	2024
Country:	España
Institution:	Consejo Superior de Investigaciones Científicas (CSIC)
Repository:	DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:	oai:digital.csic.es:10261/358505
Online Access:	http://hdl.handle.net/10261/358505 https://api.elsevier.com/content/abstract/scopus_id/85180588375
Access Level:	Open access

Description
Summary:	Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.jsb.2023.108056.