• DocumentCode
    3283613
  • Title

    Automatic detection of 3D cell protrusions using spherical wavelets

  • Author

    Ducroz, Christel ; Olivo-Marin, Jean-Christophe ; Dufour, Alexandre Cecilien

  • Author_Institution
    Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    3499
  • Lastpage
    3502
  • Abstract
    The deformation process orchestrated by the cell machinery is particularly complex and characterized by shape changes at multiple geometrical scales to drive cell deformation and movement. Precise cell shape description tools have become necessary to detect shape changes in a robust manner to allow subsequent morpho-dynamic profiling. Here we investigate the use of spherical wavelets to perform a multi-scale analysis of the cell shape, in order to automatically detect and track protrusions at the cell surface. Examples on real biological data highlight encouraging results and open the way to a powerful description of the cell deformation process.
  • Keywords
    biological techniques; biology computing; cellular biophysics; object detection; wavelet transforms; automatic 3D cell protrusion detection; automatic protrusion tracking; biological data; cell deformation process; cell machinery; geometrical scales; morphodynamic profiling; multiscale cell shape analysis; precise cell shape description tools; spherical wavelets; 3D microscopy; Cell deformation; Cell morphology; Shape analysis; Spherical wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738722
  • Filename
    6738722