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SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM
Open accessAbstract
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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Metadata
- Authors
- Wagner, T., Merino, F., Stabrin, M., Moriya, T., Antoni, C., Apelbaum, A., Hagel, P., Sitsel, O., Raisch, T., Prumbaum, D., Quentin, D., Roderer, D., Tacke, S., Siebolds, B., Schubert, E., Shaikh, T. R., Lill, P., Gatsogiannis, C., & Raunser, S.
- Venue
- Communications Biology
- Published
- 2019-06-19
- Volume
- 2
- Issue
- 1
- Pages
- 218-218
- ISSN
- 2399-3642 (ISSN-L)
- OpenAlex
- W2952729952
- Cited by
- 1,282
- References
- 9
- FWCI
- 60.18
- Type
- journal article
- Language
- en
- Open access
- gold
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