particle-picking

There are 14 repositories under particle-picking topic.

  • tbepler/topaz

    Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

    Language:Jupyter Notebook1821311764

  • MPI-Dortmund/tomotwin-cryoet

    cryo-ET particle picking by representation and metric learning

    Language:Python328486
  • TomoBEAR

    KudryashevLab/TomoBEAR

    TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.

    Language:MATLAB272156

  • logicvay2010/TomoNet

    TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing

    Language:Python16132

  • nextpyp/cet_pick

    Cellular content mining and particle localization

    Language:Python7150

  • ShkolniskyLab/kltpicker

    KLT picker: Particle picking using data-driven optimal templates (Python version)

    Language:Python7310

  • ccameron/REPIC

    REliable PIcking by Consensus (REPIC) - an ensemble learning methodology for cryo-EM particle picking

    Language:Python3412

  • nextpyp/spr_pick

    2D NN-based particle picking from sparse labels

    Language:Python2110

  • sebseager/cryoem-picker-eval

    Data analysis scripts, patches, and installation guides for cryo-EM particle pickers.

    Language:Jupyter Notebook2200

  • jmarsil/pygempick

    Open Source python module to enable batch gold particle picking, filtering, processing & statistical modelling of TEM images produced by IGEM (immunogold electron microscopy).

    Language:Jupyter Notebook1000

  • sebseager/mrc-viewer

    Web application in Dash and Plotly.js for displaying cryo-EM micrographs and visualizing coordinate overlays.

    Language:Python0100

  • sebseager/REPIC

    REliable PIcking by Consensus (REPIC)

    Language:Python0000

  • ShkolniskyLab/kltpicker_matlab

    KLT picker: Particle picking using data-driven optimal templates (MATLAB version)

    Language:MATLAB0301

  • Guillawme/topaztrainmetrics

    Plot metrics from a Topaz training run

    Language:Python22