Improved applicability and robustness of fast cryo-electron tomography data acquisition-Reference-Cited by-同舟云学术

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Improved applicability and robustness of fast cryo-electron tomography data acquisition

Published:2019-11 Issue:2 Volume:208 Page:107-114
ISSN:1047-8477
Container-title:Journal of Structural Biology
language:en
Short-container-title:Journal of Structural Biology

Author:

Eisenstein Fabian,Danev Radostin,Pilhofer Martin^ORCID

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Japan Society for the Promotion of Science

Japan Science and Technology Agency

European Research Council

Publisher

Elsevier BV

Subject

Structural Biology

Reference25 articles.

1. Structural biology in situ—the potential of subtomogram averaging;Briggs;Curr. Opin. Struct. Biol.,2013

2. Dynamo: a flexible, user-friendly development tool for subtomogram averaging of cryo-EM data in high-performance computing environments;Castaño-Díez;J. Struct. Biol.,2012

3. Convolutional neural networks for automated annotation of cellular cryo-electron tomograms;Chen;Nat. Methods,2017

4. Rapid tilt-series acquisition for electron cryotomography;Chreifi;J. Struct. Biol.,2019

5. Cryo-electron microscopy methodology: current aspects and future directions;Danev;Trends Biochem. Sci.,2019

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2. MiLoPYP: self-supervised molecular pattern mining and particle localization in situ;Nature Methods;2024-09-09

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4. OPUS-TOMO: Deep Learning Framework for Structural Heterogeneity Analysis in Cryo-electron Tomography;2024-07-01

5. Bridging structural and cell biology with cryo-electron microscopy;Nature;2024-04-03

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