Ais

Ais streamlines segmentation workflows for cryo-electron tomography datasets, including particle picking for subtomogram averaging and generating segmentations of cellular architecture from in situ tomography data.

Key Features:

• Comprehensive annotation functionality: Ais provides annotation capabilities for preparing automated segmentations.
• Segmentation functionality: Ais performs automated tomogram segmentation with high-throughput capability.
• Rendering functionality: Ais includes rendering capabilities for visualization of segmentation results.
• Open repository for trained models: Ais maintains trained models at aiscryoet.org.

Scientific Applications:

• Particle picking for subtomogram averaging: Ais accelerates particle picking as a preprocessing step for subtomogram averaging.
• Cellular architecture segmentation: Ais generates many-feature segmentations of cellular architecture based on in situ tomography data.

Methodology:

Automated segmentation methods for cryo-electron tomography datasets; specific computational algorithms are not detailed in the sources.