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Robust single-particle tracking in live-cell time-lapse sequences
Open accessAbstract
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 CD36 receptors along cytoskeleton-mediated linear tracks increases their aggregation probability. Both applications indicate the requirement for robust and complete tracking of dense particle fields to dissect the mechanisms of receptor organization at the level of the plasma membrane.
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“or using semi-automated tracking restricted to isolated and bright CCPs that do not have close neighbors that can potentially confuse the tracking algorith”
Background
Research works printed but not linked: 33
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Cited by
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Deep learning for cellular image analysis
Moen, E., Bannon, D., Kudo, T., Graf, W., Covert, M., & Van Valen, D. (2019) · Nature Methods · doi:10.1038/s41592-019-0403-1 · Cited by 1,225
In vitro cell migration and invasion assays
Kramer, N., Walzl, A., Unger, C., Rosner, M., Krupitza, G., Hengstschläger, M., & Dolznig, H. (2013) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2012.08.001 · Cited by 1,170
Applying systems-level spectral imaging and analysis to reveal the organelle interactome
Valm, A. M., Cohen, S., Legant, W. R., Melunis, J., Hershberg, U., Wait, E., Cohen, A. R., Davidson, M. W., Betzig, E., & Lippincott-Schwartz, J. (2017) · Nature · doi:10.1038/nature22369 · Cited by 1,113
A High Precision Survey of the Molecular Dynamics of Mammalian Clathrin-Mediated Endocytosis
Taylor, M. J., Perrais, D., & Merrifield, C. J. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1000604 · Cited by 754
Metadata
- Authors
- Jaqaman, K., Loerke, D., Mettlen, M., Kuwata, H., Grinstein, S., Schmid, S. L., & Danuser, G.
- Venue
- Nature Methods
- Published
- 2008-07-20
- Volume
- 5
- Issue
- 8
- Pages
- 695-702
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2105916176
- Cited by
- 1,970
- References
- 1
- FWCI
- 21.28
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
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