Automating Decision Making in the Cryo-EM Pre-processing Pipeline

Kashyap Maruthi; Mykhailo Kopylov; Bridget Carragher

doi:10.1016/j.str.2020.06.004

Automating Decision Making in the Cryo-EM Pre-processing Pipeline

Structure. 2020 Jul 7;28(7):727-729. doi: 10.1016/j.str.2020.06.004.

Authors

Kashyap Maruthi¹, Mykhailo Kopylov¹, Bridget Carragher²

Affiliations

¹ National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA.
² National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA. Electronic address: bcarr@nysbc.org.

PMID: 32640251
DOI: 10.1016/j.str.2020.06.004

Abstract

In this issue of Structure, Li et al. (2020) describe machine learning methods that automate decision making in the cryo-EM pre-processing pipeline, eliminating the need for user-subjective decisions. They successfully tested this pipeline for a wide range of datasets, demonstrating the proof of concept and the efficiency of this approach.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Cryoelectron Microscopy
Decision Making*