DocumentCode
2809392
Title
Automated actin filament segmentation, tracking and tip elongation measurements based on open active contour models
Author
Li, Hongsheng ; Shen, Tian ; Smith, Matthew B. ; Fujiwara, Ikuko ; Vavylonis, Dimitrios ; Huang, Xiaolei
Author_Institution
Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA, USA
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1302
Lastpage
1305
Abstract
This paper presents an automated method for actin filament segmentation and tracking for measuring tip elongation rates in total internal reflection fluorescence microscopy (TIRFM) images. The main contributions of the paper are: (i) we use a novel open active contour model for filament segmentation and tracking, which is fast and robust against noise; and (ii) different strategies are proposed to solve the filament intersection problem, which is shown to be the main difficulty in filament tracking. Application to experimental results demonstrated the robustness and effectiveness of this method.
Keywords
fluorescence; image registration; image segmentation; image sequences; medical image processing; molecular biophysics; polymerisation; proteins; actin filament segmentation; actin filament tracking; open active contour model; tip elongation rates; total internal reflection fluorescence microscopy; Active contours; Fluorescence; Image segmentation; In vitro; Kinetic theory; Microscopy; Noise robustness; Polymers; Proteins; Reflection; Actin Filament; Active Contour Models; Elongation Measurement; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193303
Filename
5193303
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