A

Author response: Ais: streamlining segmentation of cryo-electron tomography datasets

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 at . In this report, we demonstrate two common processing steps that can be greatly accelerated with Ais: particle picking for subtomogram averaging, and generating many-feature segmentations of cellular architecture based on in situ tomography data. Featuring comprehensive annotation, segmentation, and rendering functionality, as well as an open repository for trained models at aiscryoet.org, we hope that Ais will help accelerate research and dissemination of data involving cryoET.

Authors 4

  1. Leiden University Medical Center

    Affiliation as printed

    Department of Cell and Chemical Biology, Leiden University Medical Center

  2. Institute of Science and Technology Austria · Leiden University Medical Center

    Affiliation as printed

    Institute of Science and Technology Austria (ISTA) , Klosterneuburg , Austria

    Department of Cell and Chemical Biology, Leiden University Medical Center

  3. Institute of Science and Technology Austria · Leiden University Medical Center

    Affiliation as printed

    Department of Cell and Chemical Biology , Leiden University Medical Center , Leiden , The Netherlands •

    Institute of Science and Technology Austria (ISTA) , Klosterneuburg , Austria

    Department of Cell and Chemical Biology, Leiden University Medical Center

  4. Leiden University Medical Center · University of Bristol

    Affiliation as printed

    School of Biochemistry , University of Bristol , Bristol , United Kingdom

    Department of Cell and Chemical Biology, Leiden University Medical Center

Cited by 0 stored of 0

No patents citing this paper on Lens.org (checked 2026-10-11).

References 0