SuperCryoEMPicker

SuperCryoEMPicker is a fully automated software tool that detects and selects particles from cryo-electron microscopy (cryo-EM) micrographs for single-particle analysis. It addresses the challenges of identifying particles with complex, irregular shapes in images with extremely low signal-to-noise ratios (SNR).

The tool employs advanced image processing techniques to enhance the quality of the cryo-EM images. It then uses a super-clustering approach, which improves base clustering methods like k-means, fuzzy c-means (FCM), and intensity-based cluster (IBC) algorithms, to generate binary mask images highlighting protein particles.

Topic

Electron microscopy;MRI;Medical imaging

Detail

  • Operation: Single particle alignment and classification;Clustering

  • Software interface: Command-line user interface

  • Language: MATLAB

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: National Institutes of Health, National Science Foundation.

  • Input: -

  • Output: -

  • Contact: Jianlin Cheng chengji@missouri.edu

  • Collection: -

  • Maturity: -

Publications

  • A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM.
  • Al-Azzawi A, et al. A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM. A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM. 2019; 10:(unknown pages). doi: 10.3390/genes10090666
  • https://doi.org/10.3390/GENES10090666
  • PMID: 31480377
  • PMC: PMC6770523

Download and documentation

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