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crYOLO

  • Description

    a novel automated particle picking software based on the deep learning object detection system 'You Only Look Once' (YOLO). CrYOLO is available as a standalone program under http://sphire.mpg.de/ and is part of the image processing workflow in SPHIRE.

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install cryolo Copy to clipboard Available operating systems: Linux 64

  • Primary Citation*

    T. Wagner, F. Merino, M. Stabrin, T. Moriya, C. Antoni, A. Apelbaum, P. Hagel, O. Sitsel, T. Raisch, D. Prumbaum, D. Quentin, D. Roderer, S. Tacke, B. Siebolds, E. Schubert, T. R. Shaikh, P. Lill, and C. G. &. S. Raunser. 2019. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology. 2(1): 218.


    • *Full citation information available through

  • Tales

    Particle catcher

    Particle catcher

    If insects had horror movies, one of the scariest would feature tiny monsters. The grisly drama would spotlight the real-life threat to insects from young threadworms, smaller than eyelashes, and their symbiotic gut bacteria. The worms seek out and penetrate insect larvae. Inside the larvae, the worms release their gut bacteria, Photorhabdus luminescens, named for their mysterious glow. The bacteria take over, emitting a slew of toxic proteins that quickly kill the insect. The bacteria thrive on the insect cadaver. In turn, the worms feast on the multiplying bacteria, reproduce, and move on to the next larvae. The setting would be a farm, because the worm and its bacteria are deployed as biological pest controls. But one of the bacteria’s toxic complexes has potential for medical use in … Read More.

  • Webinars

    Topic: crYOLO and its utilization in feedback guided real-time processing
    Speaker: Dr. Thorsten Wagner, Max-Planck-Institute of Molecular Physiology

    Host: Pete Meyer
    Recorded on May 29, 2020

    Topic: Fast, accurate and easy particle picking with crYOLO
    Presenter: Thorsten Wagner, Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology

    Host: Jason Key
    Recorded on: May 28, 2019

  • Keywords

    Electron Microscopy

  • Default Versions

    Linux 64:  1.9.3 (6.7 GB)

  • Other Versions

      Linux 64:

      1.8.2 (3.7 GB) , 1.8.2_cu11 (7.6 GB) , 1.8.3 (3.8 GB) , 1.8.3_cu11 (7.8 GB) , 1.8.4 (3.8 GB) , 1.8.4_cu11 (7.8 GB) , 1.9.1_cu11 (9.5 GB) , 1.9.3_cu11 (9.2 GB)
    • Common files size: 7.9 GB

  • Developers

    Stefan Raunser, Thorsten Wagner

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