Title :
Quantitative analysis on mobility behaviors of fluorescent marker proteins using the graph model
Author :
Quan Wen ; Juan Chen ; Wenhao Liu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The quantitative analysis on the mobility behaviors of subcellular structures is essential for understanding eukaryotic cells establishment and maintenance. Tagged by the fluorescent marker proteins, the subcellular structures are visualized under the modern microscope. In this paper, we propose a graph model to formulate the tracking problem on fluorescent marker protein. By minimizing the energy of the proposed graph model, we present an algorithm for multiple objects tracking to classify the mobility behavior of the fluorescent marker protein. We have carried out extensive experiments on the tracking of fluorescent marker protein and the proposed method achieves satisfactory tracking accuracy.
Keywords :
graph theory; medical image processing; object tracking; proteins; eukaryotic cells; fluorescent marker proteins; graph model; mobility behaviors; multiple object tracking; quantitative analysis; subcellular structures; Computer vision; Conferences; Fluorescence; Pattern recognition; Proteins; Shape; Tracking; fluorescent marker protein; graph model; mobility behavior; multiple objects tracking; subcellular structure;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6745250