• 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