Robust single-particle tracking in live-cell time-lapse sequences View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-07-20

AUTHORS

Khuloud Jaqaman, Dinah Loerke, Marcel Mettlen, Hirotaka Kuwata, Sergio Grinstein, Sandra L Schmid, Gaudenz Danuser

ABSTRACT

Single-particle tracking methods allow detailed analysis of protein movement in cells, but existing tracking algorithms have substantial limitations, particularly at high particle densities. A new software tool overcomes some of these limitations and is used to track CD36 receptors and assay the lifetime of clathrin-coated pits. Also in this issue, Sergé et al. describe an alternative software tool for high-density single-particle tracking. More... »

PAGES

695-702

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1237

DOI

http://dx.doi.org/10.1038/nmeth.1237

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014167362

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18641657


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