Supplementary Videos for MEMTrack: A deep learning-based approach to micro- motor tracking in dense fibrous environments
<ul><li><strong>Video S1: </strong>Video shows the movement of representative bacterial biomotors from each of the four motility subpopulations in collagen. Video slowed down by 2x</li><li><strong>Video S2:</strong> Videos show ground truth annotation (red) by manual tracking and MEMTrack-enabled automated detection and tracking of bacteria in collagen. All scale bars are 20 µm and timestamp indicates s:ms. Video slowed down by 2x</li><li><strong>Video S3: </strong>Videos show ground truth annotation (red) by manual tracking and MEMTrack-enabled automated detection and tracking of bacteria in aqueous media. All scale bars are 20 µm and timestamp indicates s:ms. Video slowed down by 2x</li></ul>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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