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- Title
SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.
- Authors
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
- 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. Thorsten Wagner et al. present SPHIRE-crYOLO, a particle picking software for selecting particles from digital micrographs in cryoEM data. After training, the method automatically recognizes particles with high recall and precision, simplifying data pre-processing.
- Subjects
MICROGRAPHICS; ELECTRON cryomicroscopy; DEEP learning; DATA acquisition systems; IMAGE processing
- Publication
Communications Biology, 2019, Vol 2, Issue 1, pN.PAG
- ISSN
2399-3642
- Publication type
Article
- DOI
10.1038/s42003-019-0437-z