SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-06-19

AUTHORS

Thorsten Wagner, Felipe Merino, Markus Stabrin, Toshio Moriya, Claudia Antoni, Amir Apelbaum, Philine Hagel, Oleg Sitsel, Tobias Raisch, Daniel Prumbaum, Dennis Quentin, Daniel Roderer, Sebastian Tacke, Birte Siebolds, Evelyn Schubert, Tanvir R. Shaikh, Pascal Lill, Christos Gatsogiannis, Stefan Raunser

ABSTRACT

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. More... »

PAGES

218

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s42003-019-0437-z

DOI

http://dx.doi.org/10.1038/s42003-019-0437-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1117344346

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31240256


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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42003-019-0437-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42003-019-0437-z'


 

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