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Proceedings Paper

Automatic tracking of proteins in sequences of fluorescencce images
Author(s): Xia Li; Mingming Hao; David W Piston; Benoit M. Dawant
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Paper Abstract

The development of digital microscopy and computational power is providing new opportunities for analyzing the motility of the vesicles (proteins) within living cells. In this paper, an automatic method is developed to segment and track vesicles in large amount of fluorescence images, in order to compute a number of quantitative parameters such as displacement, residence time, binding, or immobile fraction. We present a method that permits the automatic tracking of subcellular structures in long sequences of fluorescence images (up to 100 frames). The method we propose has been tested on 92 data sets totaling 8225 frames.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.533726
Show Author Affiliations
Xia Li, Vanderbilt Univ. (United States)
Mingming Hao, Vanderbilt Univ. (United States)
David W Piston, Vanderbilt Univ. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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