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ISBI
2006
IEEE

Automated tracking and modeling of microtubule dynamics

10 years 4 months ago
Automated tracking and modeling of microtubule dynamics
The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual and automated quantification of microtubule behavior. Key contributions are increasing accuracy and data volume, eliminating user bias and providing advanced analysis tools for the discovery of temporal patterns in cellular processes. By tracking the entire length of each resolvable microtubule, as opposed to only the tip, it is possible to boost dynamics studies with positional information that is virtually impossible to collect manually. We demonstrate the method on the analysis of a microtubule dataset, which was manually tracked and analyzed in the study of III-tubulin isoform. Our results show that automated recognition of temporal patterns in cellular processes offers a highly promising potential.
Motaz A. El Saban, Alphan Altinok, Austin J. Peck,
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2006
Where ISBI
Authors Motaz A. El Saban, Alphan Altinok, Austin J. Peck, Charles S. Kenney, Stuart C. Feinstein, Leslie Wilson, Kenneth Rose, B. S. Manjunath
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