Machine learning-based motion tracking reveals an inverse correlation between adhesivity and surface motility of the leptospirosis spirochete

This research investigated bacterial motility over cultured animal cells without using any cellular labeling, such as fluorescent probes. The label-free motion tracking was achieved by the machine learning-based background subtraction method. The shared data set includes the raw tracking data of individual bacterial locomotion (swimming in liquid phase and crawling on cell surfaces of zoonotic spirochete <i>Leptospira interrogans</i>) measured in this study.