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TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM
Single particle cryo-EM requires full automation to allow high-throughput structure determination. Although software packages exist where parts of the cryo-EM pipeline are automated, a complete solution that offers reliable on-the-fly processing, resulting in high-resolution structures, does not exi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658977/ https://www.ncbi.nlm.nih.gov/pubmed/33177513 http://dx.doi.org/10.1038/s41467-020-19513-2 |
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author | Stabrin, Markus Schoenfeld, Fabian Wagner, Thorsten Pospich, Sabrina Gatsogiannis, Christos Raunser, Stefan |
author_facet | Stabrin, Markus Schoenfeld, Fabian Wagner, Thorsten Pospich, Sabrina Gatsogiannis, Christos Raunser, Stefan |
author_sort | Stabrin, Markus |
collection | PubMed |
description | Single particle cryo-EM requires full automation to allow high-throughput structure determination. Although software packages exist where parts of the cryo-EM pipeline are automated, a complete solution that offers reliable on-the-fly processing, resulting in high-resolution structures, does not exist. Here we present TranSPHIRE: A software package for fully-automated processing of cryo-EM datasets during data acquisition. TranSPHIRE transfers data from the microscope, automatically applies the common pre-processing steps, picks particles, performs 2D clustering, and 3D refinement parallel to image recording. Importantly, TranSPHIRE introduces a machine learning-based feedback loop to re-train its picking model to adapt to any given data set live during processing. This elegant approach enables TranSPHIRE to process data more effectively, producing high-quality particle stacks. TranSPHIRE collects and displays all metrics and microscope settings to allow users to quickly evaluate data during acquisition. TranSPHIRE can run on a single work station and also includes the automated processing of filaments. |
format | Online Article Text |
id | pubmed-7658977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76589772020-11-17 TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM Stabrin, Markus Schoenfeld, Fabian Wagner, Thorsten Pospich, Sabrina Gatsogiannis, Christos Raunser, Stefan Nat Commun Article Single particle cryo-EM requires full automation to allow high-throughput structure determination. Although software packages exist where parts of the cryo-EM pipeline are automated, a complete solution that offers reliable on-the-fly processing, resulting in high-resolution structures, does not exist. Here we present TranSPHIRE: A software package for fully-automated processing of cryo-EM datasets during data acquisition. TranSPHIRE transfers data from the microscope, automatically applies the common pre-processing steps, picks particles, performs 2D clustering, and 3D refinement parallel to image recording. Importantly, TranSPHIRE introduces a machine learning-based feedback loop to re-train its picking model to adapt to any given data set live during processing. This elegant approach enables TranSPHIRE to process data more effectively, producing high-quality particle stacks. TranSPHIRE collects and displays all metrics and microscope settings to allow users to quickly evaluate data during acquisition. TranSPHIRE can run on a single work station and also includes the automated processing of filaments. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7658977/ /pubmed/33177513 http://dx.doi.org/10.1038/s41467-020-19513-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Stabrin, Markus Schoenfeld, Fabian Wagner, Thorsten Pospich, Sabrina Gatsogiannis, Christos Raunser, Stefan TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title | TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title_full | TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title_fullStr | TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title_full_unstemmed | TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title_short | TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM |
title_sort | transphire: automated and feedback-optimized on-the-fly processing for cryo-em |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658977/ https://www.ncbi.nlm.nih.gov/pubmed/33177513 http://dx.doi.org/10.1038/s41467-020-19513-2 |
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