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Morphométrie de structures cellulaires biologiques partiellement observées par imagerie 3D

Abstract : This work presents methods to characterize morphology of 3D cellular structures partially observed by discrete images, as well as their application to morphometric description of tomato pericarp.

An estimation method of geometric properties of a material was developed, in the particular case where the sampling is not uniform inside the image. The principle is to express locally the morphological parameters of the structure, and to weight each contribution by the inverse of its sampling probability.

We present also the computation of sampling probabilities in 3D images acquired perpendicularly to a smooth surface, based on simple regularity assumptions.

In order to compare the quality of information obtained with 2D and 3D images, the estimation of surface density in vertical sections was applied to discrete images.

Finally, we present an integrated approach to characterize a cellular material, the tomato pericarp. This approach comprises the aquisition of images using confocal microscopy, image processing to segment biological cells, and the application of estimators we developed. We could characterize the morphology of tomato pericarp cells globally, and as a function of depth in the pericarp.
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Contributor : David Legland <>
Submitted on : Friday, June 23, 2006 - 3:18:28 PM
Last modification on : Monday, May 4, 2020 - 6:32:02 PM
Long-term archiving on: : Monday, April 5, 2010 - 9:30:27 PM



  • HAL Id : tel-00081554, version 1



David Legland. Morphométrie de structures cellulaires biologiques partiellement observées par imagerie 3D. Modélisation et simulation. Université René Descartes - Paris V, 2005. Français. ⟨tel-00081554⟩



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