SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.
Cryoelectron microscopy
Data processing
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
2019
2019
Historique:
received:
01
04
2019
accepted:
24
04
2019
entrez:
27
6
2019
pubmed:
27
6
2019
medline:
27
6
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31240256
doi: 10.1038/s42003-019-0437-z
pii: 437
pmc: PMC6584505
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
218Déclaration de conflit d'intérêts
Competing interestsThe authors declare no competing interests.
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