Learning to automate cryo-electron microscopy data collection with Ptolemy.

ABSTRACT: Over the past decade, cryo-electron microscopy (cryoEM) has emerged as an important method for determining near-native, near-atomic resolution 3D structures of biological macromolecules. To meet the increasing demand for cryoEM, automated methods that improve throughput and efficiency of microscope operation are needed. Currently, the targeting algorithms provided by most data-collection software require time-consuming manual tuning of parameters for each grid, and, in some cases, operators must select targets completely manually. However, the development of fully automated targeting algorithms is non-trivial, because images often have low signal-to-noise ratios and optimal targeting strategies depend on a range of experimental parameters and macromolecule behaviors that vary between proje

SUBMITTER: Kim PT 

PROVIDER: S-EPMC9812219 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature