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

Commun Biol. 2019 Jun 19:2:218. doi: 10.1038/s42003-019-0437-z. eCollection 2019.

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.

Keywords: Cryoelectron microscopy; Data processing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cryoelectron Microscopy / methods*
  • Datasets as Topic
  • Deep Learning
  • Image Processing, Computer-Assisted / methods*
  • Neural Networks, Computer
  • Software*