DocumentCode :
1771712
Title :
Automated cell junction tracking with modified active contours guided by SIFT flow
Author :
Chen-Yu Lee ; Sukryool Kang ; Chisholm, Andrew D. ; Cosman, Pamela C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California at San Diego, La Jolla, CA, USA
fYear :
2014
fDate :
April 29 2014-May 2 2014
Firstpage :
290
Lastpage :
293
Abstract :
We present a novel algorithmic approach to track multiple cell junctions automatically in the developing epidermis of the C. elegans embryo. 3D cell boundaries are projected into 2D for segmentation using active contours with a non-intersection force, and subsequently tracked using SIFT (Scale-Invariant Feature Transform) flow. Our method achieves MAD (Mean Absolute Distance) less than 3 pixels between all tracked cell contours and ground truth data. Using this method we have generated a quantitative description of epidermal cell movements and shape changes during the process of epidermal enclosure.
Keywords :
biological techniques; biology computing; cell motility; image segmentation; optical microscopy; skin; 3D cell boundaries; C. elegans embryo; MAD; SIFT flow; active contour segmentation; automated cell junction tracking; cell contours; epidermal cell movements; epidermal enclosure; epidermis; ground truth data; mean absolute distance; modified active contours; nonintersection force; scale-invariant feature transform; shape changes; Embryo; Epidermis; Force; Optical imaging; Shape; Tracking; C. elegans; SIFT flow; cell tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ISBI.2014.6867866
Filename :
6867866
Link To Document :
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