Streamlining segmentation of cryo-electron tomography datasets with Ais.

ABSTRACT: Segmentation is a critical data processing step in many applications of cryo-electron tomography. Downstream analyses, such as subtomogram averaging, are often based on segmentation results, and are thus critically dependent on the availability of open-source software for accurate as well as high-throughput tomogram segmentation. There is a need for more user-friendly, flexible, and comprehensive segmentation software that offers an insightful overview of all steps involved in preparing automated segmentations. Here, we present Ais: a dedicated tomogram segmentation package that is geared towards both high performance and accessibility, available on GitHub. In this report, we demonstrate two common processing steps that can be greatly accelerated with Ais: particle picking for subtomogram

SUBMITTER: Last MGF 

PROVIDER: S-EPMC11661790 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature