EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing | Zendy

Zachary T. Berndsen | Zendy; Charles Bowman | Zendy; Haerin Jang | Zendy; Andrew B. Ward | Zendy

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EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing

Author(s) -

Zachary T. Berndsen,

Charles Bowman,

Haerin Jang,

Andrew B. Ward

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx500

Subject(s) - python (programming language) , computer science , suite , preprocessor , image processing , cryo electron microscopy , sorting , computer graphics (images) , masking (illustration) , algorithm , mit license , data processing , computational science , software , data mining , artificial intelligence , image (mathematics) , database , operating system , physics , art , visual arts , archaeology , nuclear magnetic resonance , history

The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein structures using a smaller computational footprint, we saw the need for a fast and simple tool for data pre-processing that could run independent of existing high-performance computing (HPC) infrastructures. EMHP provides a data preprocessing platform in a small package that requires minimal python dependencies to function.

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