Robust single-particle tracking in live-cell time-lapse sequences.

ABSTRACT: Single-particle tracking (SPT) is often the rate-limiting step in live-cell imaging studies of subcellular dynamics. Here we present a tracking algorithm that addresses the principal challenges of SPT, namely high particle density, particle motion heterogeneity, temporary particle disappearance, and particle merging and splitting. The algorithm first links particles between consecutive frames and then links the resulting track segments into complete trajectories. Both steps are formulated as global combinatorial optimization problems whose solution identifies the overall most likely set of particle trajectories throughout a movie. Using this approach, we show that the GTPase dynamin differentially affects the kinetics of long- and short-lived endocytic structures and that the motion of CD3

SUBMITTER: Jaqaman K 

PROVIDER: S-EPMC2747604 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature