New tools for automated cryo-EM single-particle analysis in RELION-4.0

We describe new tools for the processing of electron cryo-microscopy (cryo-EM) images in the fourth major release of the RELION software. In particular, we introduce VDAM, a variable-metric gradient descent algorithm with adaptive moments estimation, for image refinement; a convolutional neural network for unsupervised selection of 2D classes; and a flexible framework for the design and execution of multiple jobs in pre-defined workflows. In addition, we present a stand-alone utility called MDCatch that links the execution of jobs within this framework with metadata gathering during microscope data acquisition. The new tools are aimed at providing fast and robust procedures for unsupervised cryo-EM structure determination, with potential applications for on-the-fly processing and the development of flexible, high-throughput structure determination pipelines. We illustrate their potential on 12 publicly available cryo-EM data sets.

Automated summary

This article introduces new tools for processing cryo-EM images in the fourth major release of the RELION software, including VDAM algorithm, convolutional neural network, and a framework for executing multiple jobs, along with a utility called MDCatch for metadata gathering during microscope data acquisition. These tools aim to provide fast and robust procedures for unsupervised cryo-EM structure determination, with potential applications for on-the-fly processing and flexible, high-throughput structure determination pipelines.