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SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM
Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been develope...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584505/ https://www.ncbi.nlm.nih.gov/pubmed/31240256 http://dx.doi.org/10.1038/s42003-019-0437-z |
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author | Wagner, Thorsten Merino, Felipe Stabrin, Markus Moriya, Toshio Antoni, Claudia Apelbaum, Amir Hagel, Philine Sitsel, Oleg Raisch, Tobias Prumbaum, Daniel Quentin, Dennis Roderer, Daniel Tacke, Sebastian Siebolds, Birte Schubert, Evelyn Shaikh, Tanvir R. Lill, Pascal Gatsogiannis, Christos Raunser, Stefan |
author_facet | Wagner, Thorsten Merino, Felipe Stabrin, Markus Moriya, Toshio Antoni, Claudia Apelbaum, Amir Hagel, Philine Sitsel, Oleg Raisch, Tobias Prumbaum, Daniel Quentin, Dennis Roderer, Daniel Tacke, Sebastian Siebolds, Birte Schubert, Evelyn Shaikh, Tanvir R. Lill, Pascal Gatsogiannis, Christos Raunser, Stefan |
author_sort | Wagner, Thorsten |
collection | PubMed |
description | Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been developed. However, non-ideal datasets pose a challenge to particle picking. Here we present the particle picking software crYOLO which is based on the deep-learning object detection system You Only Look Once (YOLO). After training the network with 200–2500 particles per dataset it automatically recognizes particles with high recall and precision while reaching a speed of up to five micrographs per second. Further, we present a general crYOLO network able to pick from previously unseen datasets, allowing for completely automated on-the-fly cryo-EM data preprocessing during data acquisition. crYOLO is available as a standalone program under http://sphire.mpg.de/ and is distributed as part of the image processing workflow in SPHIRE. |
format | Online Article Text |
id | pubmed-6584505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65845052019-06-25 SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM Wagner, Thorsten Merino, Felipe Stabrin, Markus Moriya, Toshio Antoni, Claudia Apelbaum, Amir Hagel, Philine Sitsel, Oleg Raisch, Tobias Prumbaum, Daniel Quentin, Dennis Roderer, Daniel Tacke, Sebastian Siebolds, Birte Schubert, Evelyn Shaikh, Tanvir R. Lill, Pascal Gatsogiannis, Christos Raunser, Stefan Commun Biol Article Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been developed. However, non-ideal datasets pose a challenge to particle picking. Here we present the particle picking software crYOLO which is based on the deep-learning object detection system You Only Look Once (YOLO). After training the network with 200–2500 particles per dataset it automatically recognizes particles with high recall and precision while reaching a speed of up to five micrographs per second. Further, we present a general crYOLO network able to pick from previously unseen datasets, allowing for completely automated on-the-fly cryo-EM data preprocessing during data acquisition. crYOLO is available as a standalone program under http://sphire.mpg.de/ and is distributed as part of the image processing workflow in SPHIRE. Nature Publishing Group UK 2019-06-19 /pmc/articles/PMC6584505/ /pubmed/31240256 http://dx.doi.org/10.1038/s42003-019-0437-z Text en © The Author(s) 2019 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 Wagner, Thorsten Merino, Felipe Stabrin, Markus Moriya, Toshio Antoni, Claudia Apelbaum, Amir Hagel, Philine Sitsel, Oleg Raisch, Tobias Prumbaum, Daniel Quentin, Dennis Roderer, Daniel Tacke, Sebastian Siebolds, Birte Schubert, Evelyn Shaikh, Tanvir R. Lill, Pascal Gatsogiannis, Christos Raunser, Stefan SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title | SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title_full | SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title_fullStr | SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title_full_unstemmed | SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title_short | SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM |
title_sort | sphire-cryolo is a fast and accurate fully automated particle picker for cryo-em |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584505/ https://www.ncbi.nlm.nih.gov/pubmed/31240256 http://dx.doi.org/10.1038/s42003-019-0437-z |
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