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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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Thorsten Wagner
Felipe Merino
Markus Stabrin
SHILAP Revista de lepidopterología
Communications Biology
Max Planck Institute of Molecular Physiology
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Wagner et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69ee7d6c26b49faa65be7cf2 — DOI: https://doi.org/10.1038/s42003-019-0437-z