Technical Program

Paper Detail

Paper:	SA-PM-OS1.5
Session:	Cellular and Molecular Image Analysis
Time:	Saturday, April 8, 16:40 - 17:00
Presentation:	Oral
Title:	Automated Tracking and Modeling of Microtubule Dynamics
Authors:	Motaz El Saban; University of California, Santa Barbara
	Alphan Altinok; University of California, Santa Barbara
	Austin Peck; University of California, Santa Barbara
	Charles Kenney; University of California, Santa Barbara
	Stu Feinstein; University of California, Santa Barbara
	Les Wilson; University of California, Santa Barbara
	Kenneth Rose; University of California, Santa Barbara
	B. S. Manjunath; University of California, Santa Barbara
Abstract:	The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual 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 $\beta$III-tubulin isoform. Our results show that automated recognition of temporal patterns in cellular processes offers a highly promising potential.

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