Fig. 5
From: RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis
Validation of the tracking accuracy of RABiTPy. Comparison of user-tracked trajectories and RABiTPy-derived trajectories (colored tracks) demonstrate minimal deviations, highlighting the consistent performance of RABiTPy. A Time-lapse images showing trajectories of F. johnsoniae cells. B Ground truth (represented by diamond, circle, and square markers) and RABiTPy-derived trajectories of F. johnsoniae. C Positional deviations (Δd) of user-tracked data from RABiTPy trajectories across individual F. johnsoniae cells. D Time-lapse images showing trajectories of P. aeruginosa cells. E Ground truth and RABiTPy-derived trajectories of P. aeruginosa. F Positional deviations (Δd) of user-tracked data from RABiTPy trajectories across individual P. aeruginosa cells