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
Link To Document :
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