4.7 Article

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

Journal

COMMUNICATIONS BIOLOGY
Volume 2, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42003-019-0437-z

Keywords

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Funding

  1. Max Planck Society
  2. European Council under the European Union [615984]
  3. European Research Council (ERC) [615984] Funding Source: European Research Council (ERC)

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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.

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