Automatic tracking of proteins in sequences of fluorescencce images

Xia Li; Mingming Hao; David W Piston; Benoit M. Dawant

doi:10.1117/12.533726

12 May 2004 Automatic tracking of proteins in sequences of fluorescencce images

Xia Li, Mingming Hao, David W Piston, Benoit M. Dawant

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.533726
Event: Medical Imaging 2004, 2004, San Diego, California, United States

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.

Citation Download Citation

Xia Li, Mingming Hao, David W Piston, and Benoit M. Dawant "Automatic tracking of proteins in sequences of fluorescencce images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533726

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