AUTOMATIC DETECTION OF 3D CELL PROTRUSIONS USING SPHERICAL WAVELETS

被引：0
|
作者：
Ducroz, Christel [1 ]
Olivo-Marin, Jean-Christophe
Dufour, Alexandre
机构：
[1] Inst Pasteur, Quantitat Image Anal Unit, F-75015 Paris, France
来源：
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年
关键词：
Spherical wavelets; Shape analysis; Cell morphology; Cell deformation; 3D microscopy; SHAPE;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
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.
引用
收藏
页码：3499 / 3502
页数：4
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