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Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.
Nat Methods. 2021 Nov;18(11):1386-1394. doi: 10.1038/s41592-021-01275-4. Epub 2021 Oct 21.
Nat Methods. 2021.
PMID: 34675434
Towards unsupervised classification of macromolecular complexes in cryo electron tomography: Challenges and opportunities.
Moebel E, Kervrann C.
Moebel E, et al.
Comput Methods Programs Biomed. 2022 Oct;225:107017. doi: 10.1016/j.cmpb.2022.107017. Epub 2022 Jul 16.
Comput Methods Programs Biomed. 2022.
PMID: 35901628
Review.
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Author Correction: Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.
Moebel E, Martinez-Sanchez A, Lamm L, Righetto RD, Wietrzynski W, Albert S, Larivière D, Fourmentin E, Pfeffer S, Ortiz J, Baumeister W, Peng T, Engel BD, Kervrann C.
Moebel E, et al.
Nat Methods. 2022 Jan;19(1):129. doi: 10.1038/s41592-021-01349-3.
Nat Methods. 2022.
PMID: 34785810
No abstract available.
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A Monte Carlo framework for missing wedge restoration and noise removal in cryo-electron tomography.
Moebel E, Kervrann C.
Moebel E, et al.
J Struct Biol X. 2019 Oct 25;4:100013. doi: 10.1016/j.yjsbx.2019.100013. eCollection 2020.
J Struct Biol X. 2019.
PMID: 32647817
Free PMC article.
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ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation.
Jiménez de la Morena J, Conesa P, Fonseca YC, de Isidro-Gómez FP, Herreros D, Fernández-Giménez E, Strelak D, Moebel E, Buchholz TO, Jug F, Martinez-Sanchez A, Harastani M, Jonic S, Conesa JJ, Cuervo A, Losana P, Sánchez I, Iceta M, Del Cano L, Gragera M, Melero R, Sharov G, Castaño-Díez D, Koster A, Piccirillo JG, Vilas JL, Otón J, Marabini R, Sorzano COS, Carazo JM.
Jiménez de la Morena J, et al. Among authors: moebel e.
J Struct Biol. 2022 Sep;214(3):107872. doi: 10.1016/j.jsb.2022.107872. Epub 2022 Jun 2.
J Struct Biol. 2022.
PMID: 35660516
Free PMC article.
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