Extracting Dynamic Microtubule Features from Image Sequences

Alphan Altinok B. S. Manjunath Kenneth Rose
Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106
{alphan,msargin,manj,rose} [at] ece.ucsb.edu
Funded by the Center for Bioimage Informatics under NSF-ITR 0331697.


Microtubules (MT) are filamentous cytoskeletal structures composed of tubulin protein subunits. Through their dynamic behaviors, they participate in many essential cellular functions. MT dynamics are traditionally analyzed from time lapse images by manual techniques that are laborious, approximate and often of limited analytical value. Recently, computational methods have been applied to the problems of detection and tracking of MTs in live cell images. In this paper, we discuss computational methods for extracting dynamics features from live cell MT image sequences. We provide examples of how these features can be used in MT dynamics analysis and improve the manual analytical capabilities.
[PDF] [BibTex]
Alphan Altinok, B. S. Manjunath and Kenneth Rose,
Asilomar Conference On Signals, Systems and Computers (ACSSC), Monterey, CA, Nov. 2007.
Node ID: 479 , DB ID: 284 , Lab: VRL , Target: Conference
Subject: [BIO] « Look up more