• DocumentCode
    2186216
  • Title

    Quantitative analysis of cellular shape and motility with improved active contours

  • Author

    Zimmer, C. ; Labruyère, E. ; Meas-Yedid, V. ; Guillén, N. ; Olivo-Marin, J.-C.

  • Author_Institution
    Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    859
  • Lastpage
    862
  • Abstract
    Quantitative studies of cellular motility and morphology require a method to segment and track individual cells in videomicroscopy data. We present an active contour method adapted to address important difficulties of cellular imaging. Detection of low contrast pseudopods is facilitated by using an edge map based on the average intensity deviation field. Separation of cells in contact is facilitated by introducing a repulsion effect between contours. Our method was successfully applied to assess the influence of a particular protein on the motility of the parasite Entamoeba histolytica, and in an ongoing study of chemotaxis.
  • Keywords
    biological techniques; biology computing; cell motility; cellular biophysics; chemioception; image resolution; image segmentation; image sequences; optical microscopy; proteins; Entamoeba histolytica; average intensity deviation field; cellular imaging; cellular morphology; cellular motility; cellular shape; chemotaxis; control amoeba; edge map; improved active contours; individual cells; low contrast pseudopods; parasite; protein; quantitative analysis; repulsion effect; videomicroscopy data; Active contours; Cells (biology); Equations; Image edge detection; Image segmentation; Immune system; Microscopy; Morphology; Oncology; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7584-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2002.1029395
  • Filename
    1029395