Supplementary Videos for MEMTrack: A deep learning-based approach to micro- motor tracking in dense fibrous environments
Supplementary Videos for MEMTrack: A deep learning-based approach to micro- motor tracking in dense fibrous environments
Video S1: Video shows the movement of representative bacterial biomotors from each of the four motility subpopulations in collagen. Video slowed down by 2x Video S2: 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 Video S3: 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
- Virginia Tech United States
Machine Learning, Bacteria, Computer Vision, Object Detection, Multi Object Tracking, Collagen, Biohybrid Microrobotics
Machine Learning, Bacteria, Computer Vision, Object Detection, Multi Object Tracking, Collagen, Biohybrid Microrobotics
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