A complete data processing workflow for CryoET and subtomogram averaging

TL;DR

This paper introduces an integrated, automated workflow for CryoET data processing that enhances efficiency and resolution in 3D cellular imaging, enabling high-resolution protein structure determination with less manual effort.

Contribution

The authors present a comprehensive, automated pipeline for CryoET data processing, improving throughput and resolution over previous manual or semi-automated methods.

Findings

Workflow reduces human effort significantly.

Achieves subnanometer resolution in subtomogram averaging.

Applicable to both purified proteins and cellular samples.

Abstract

Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, the data processing is very labor intensive and results are often limited by the skills of the personnel rather than the data. We present an integrated workflow that covers the entire tomography data processing pipeline, from automated tilt series alignment to subnanometer resolution subtomogram averaging. This workflow greatly reduces human effort and increases throughput, and is capable of determining protein structures at state-of-the-art resolutions for both purified macromolecules and cells.