
Ais는 크라이오 전자 단층 촬영 데이터셋의 세그멘테이션 작업을 간소화하고 자동화하여 연구자들의 작업 효율을 높이는 도구이다.


coremsg

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 [github.com/bionanopatterning/Ais][1]. 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 models 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][2], we hope that Ais will help accelerate research and dissemination of data involving cryoET.

### Competing Interest Statement

The authors have declared no competing interest.

 [1]: http://www.github.com/bionanopatterning/Ais
 [2]: http://aiscryoet.org

Ais: streamlining segmentation of cryo-electron tomography datasets

크라이오-전자-단층-촬영-데이터셋-세그멘테이션을-간소화하는-ais


크라이오 전자 단층 촬영 데이터셋 세그멘테이션을 간소화하는 Ais
