Table · dataset · 2026
Automated behavioral segmentation and markerless pose tracking of mice during spaceflight
Listed in NASA Data Portal
The NASA Rodent Habitat aboard the International Space Station enables long-duration studies of behavioral responses to spaceflight, but video-based behavioral analysis has relied on laborious manual annotation.
Description
No study has tested whether deep learning tools can automate this analysis under the demanding imaging conditions of orbital vivaria. We applied pose estimation (SLEAP) and behavioral segmentation (DeepEthogram) to archival footage from the Rodent Research-1 mission.
Nine labelers annotated 3,249 pose labels across 2,063 frames, and three behaviorists labeled 611,045 frames across 66 videos. Pose tracking accuracy approximated human inter-annotator variability despite progressive lens soiling, grid occlusions, and spherical aberration. Behavioral classification across eight categories achieved accuracy of 0.86–0.90 and suggests progressive behavioral adaptations to microgravity.
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Kinematic reconstruction of circling estimated centripetal accelerations periodically approaching 1g. This is the first application of deep learning-based pose estimation and behavioral segmentation to rodents in spaceflight, establishing benchmarks for future monitoring systems. This study derives results from the Pose Estimation assay (SLEAP) and the Behavioral Segmentation assay (DeepEthogram).
All original and normalized video files are available upon request through the Rodent Research 1 payload record (osdr.nasa.gov/bio/repo/data/payloads/RR-1).
Links
Get the data
- Resource osdr.nasa.gov/bio/repo/data/missions/SpaceX-4 ↗
download · from data nasa gov
- Resource purl.bioontology.org/ontology/NCBITAXON/10090 ↗
download · from data nasa gov
- Resource osdr.nasa.gov/bio/repo/data/studies/OSD-952 ↗
download · from data nasa gov
Where it is published
- NASA Data Portal dataset page data.nasa.gov/dataset/automated-behavioral-segmentation-and-markerless-pose-… ↗
landing page · from data nasa gov
- DOI doi.org/10.26030/6m3b-gd71 ↗
DOI / persistent id · from data nasa gov
Catalogue records · 1
- CKAN API data.nasa.gov/api/3/action/package_show?id=6d6be72b-d2cd-4a6a-af79-20523af6d… ↗
metadata API · from data nasa gov
Topics
- From keywords
- Astronomy & Astrophysics · Earth & Environmental Science · Life Sciences · Ocean & Atmospheric Science · Physics
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Data Portal | 6d6be72b-d2cd-4a6a-af79-20523af6d4a2 | 12 d ago | JSON v1 |
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|---|---|---|---|
| concepts[field].anzsrc:group:3109 | enrichment · data nasa gov | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:astronomy | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
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| concepts[field].local:field:ocean-atmospheric | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
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| concepts[modality].local:modality:imaging | enrichment · data nasa gov | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · data nasa gov | keyword-concept-rules@1.0.0 | title+description (75%) |
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| description | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /notes |
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| title | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /title |
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