EMHP
EMHP performs automated preprocessing of single-particle cryo-electron microscopy (cryo-EM) electron micrographs by rapid assessment, sorting, and hole masking to prepare data for protein structure determination.
Key Features:
- Automated Hole Masking: Identifies and masks holes in electron micrographs to exclude non-particle regions prior to downstream image processing.
- Rapid Assessment and Sorting: Performs quick quality assessment and sorting of micrographs to select suitable images for single-particle analysis.
- Minimal Python Dependencies: Implemented with minimal Python dependencies to reduce software requirements for preprocessing tasks.
- Operation without HPC: Designed to run independently of high-performance computing infrastructures for local deployment.
Scientific Applications:
- Single-particle cryo-EM preprocessing: Prepares electron micrographs for particle picking, alignment, and 3D reconstruction workflows.
- Structural biology: Supports protein structure determination by improving the quality of input images used for high-resolution analysis.
Methodology:
Automated algorithms perform hole identification, masking, micrograph quality assessment, and sorting for cryo-EM preprocessing.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 6/17/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Berndsen Z, Bowman C, Jang H, Ward AB. EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing. Bioinformatics. 2017;33(23):3824-3826. doi:10.1093/bioinformatics/btx500. PMID:28961740. PMCID:PMC5860320.