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CryoSiam

  • Description

    CryoSiam is a self-supervised deep learning framework that works on dense and subtomogram levels. The dense part of the framework is additionally trained on subtasks for tomogram denoising, semantic segmentation (particle identification) and instance segmentation. The subtomogram level part of the method offers embedding representation of the detected particles in the tomogram/s.

  • Usage

    To list all executables provided by CryoSiam, run: $ sbgrid-list cryosiam Copy to clipboard

  • Installation

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

  • Primary Citation*

    Stojanovska, Frosina, Kreshuk, Anna, Mahamid, Julia, Zaugg, and Judith. 2024. Self-supervised deep learning method for in-cell cryo-electron tomography. BIO Web of Conferences. 129: 10020.


    • *Full citation information available through

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