2008
DOI: 10.1038/nmeth.1237
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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 sub-cellular 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 combinator… Show more

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Cited by 1,797 publications
(2,042 citation statements)
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References 36 publications
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“…This was similar to previous estimates in BSC1 cells, wherein productive CCSs were defined as spot-like CCSs having lifetimes anywhere from tens to hundreds of seconds (average 87 s) [3,27,28]. Because the size and lifetimes of scission-detected CCSs were so variable ( Figure 1H and 1I), in our subsequent investigation of late events in CME we made measurements over a time window of 680 s, centred on scission.…”
Section: Author Summarysupporting
confidence: 81%
See 1 more Smart Citation
“…This was similar to previous estimates in BSC1 cells, wherein productive CCSs were defined as spot-like CCSs having lifetimes anywhere from tens to hundreds of seconds (average 87 s) [3,27,28]. Because the size and lifetimes of scission-detected CCSs were so variable ( Figure 1H and 1I), in our subsequent investigation of late events in CME we made measurements over a time window of 680 s, centred on scission.…”
Section: Author Summarysupporting
confidence: 81%
“…Therefore, scission events defined a class of larger, longer-lived CCSs. The shorter-lived scission-undetected CCSs most likely correspond to the ''abortive'' CCSs described previously [3,27,28], although some of these structures may have represented endosomal clathrin.…”
Section: Author Summarymentioning
confidence: 58%
“…SPT trajectory data from time-lapse TIRF microscopy are combined from individual truncated tracks to create much larger trajectories using a pseudo-three-dimensional volume, and then the track in this pseudo-volume space from each moving particle is obtained using a combination of a minimal energy path approach mediated through a Fast Marching method, 50 a Dynamic Programming approach, 51 and the Linear Assignment Solution. 52 To extract a particle trajectory, our method consists of three modules. Considering the particle intensity models from fluorescence microscopy, first a set of filters are applied to the image data to suppress noise and enhance the contrast of moving particles in each image frame.…”
Section: Pinpointing Fluorescently-labelled Moleculesmentioning
confidence: 99%
“…Recent advancements in tracking algorithms designed for high particle densities might prove to be beneficial in this respect. 31,32 Theoretically there is no lower limit to the particle concentration as the size is calculated for individual particles. However, it is clear that there should be a sufficient number of particles in the system to obtain good statistics within a reasonable time period.…”
mentioning
confidence: 99%