Supported Applications


  • Description

    (Deep cryo-EM Map Enhancer) a python package designed to perform non-linear post-processing of cryo-EM maps for local sharpening, automatic masking and denoising. Systems using cuda 11+ should use the 20210511 version of deepEMhancer, and the modified models distributed in /programs/share/deepemhancer/20210511/deepEMhancerModels/production_checkpoints/

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install deepemhancer Copy to clipboard
  • Primary Citation*

    R. Sanchez-Garcia, J. Gomez-Blanco, A. Cuervo, J. M. Carazo, C. O. S. Sorzano, and J. Vargas. 2020. DeepEMhancer: a deep learning solution for cryo-EM volume post-processing. bioRxiv. 2020.06.12.148296.

    • *Full citation information available through

  • Webinars

    Topic: DeepEMhancer: exploiting previous knowledge to enhance map visualization
    Presenter: Rubén Sánchez Garcia, Ph.D., The National Centre for Biotechnolgy, Spanish National Research Council

    Host: Pete Meyer
    Recorded on January 26, 2021

  • Keywords

    Electron Microscopy

  • Default Versions

    Linux 64:  20200909

  • Other Versions

      Linux 64:

      20210511, 20210427_cu11
  • Developers

    Javier Vargas, Ruben Sanchez-Garcia