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  • Description

    an automatic pipeline for cryo-EM data preprocessing and assessment using a combination of deep learning and image analysis tools.

  • Usage

    To list all executables provided by CryoAssess, run: $ sbgrid-list cryoassess Copy to clipboard
  • Usage Notes

    Trained models are available in the /programs/x86_64-linux/cryoassess/0.1.0/models directory and at

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install cryoassess Copy to clipboard Available operating systems: Linux 64
  • Primary Citation*

    Y. Li, J. N. Cash, J. J. Tesmer, and M. A. Cianfrocco. 2020. High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. Structure. 28(7): 858-869.

    • *Full citation information available through

  • Webinars


    Topic: CryoAssess: Automatic data assessment for cryoEM by pretrained neural networks
    Presenter: Yilai Li, Ph.D., University of Michigan

    Recorded on February 23, 2021
    Host: Shuan Rawson

  • Keywords

    Electron Microscopy, Pipelines

  • Default Versions

    Linux 64:  1.0.0 (5.3 GB)

  • Other Versions

      Linux 64:

      0.2.1 (6.6 GB)
  • Developers

    Michael A Cianfrocco, Yihua Li