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