3D Tessellation of Plant Tissue A dual optimization approach to cell-level meristem reconstruction from microscopy images - Archive ouverte HAL
Conference Papers Year : 2015

3D Tessellation of Plant Tissue A dual optimization approach to cell-level meristem reconstruction from microscopy images

Abstract

The goal of this paper is the reconstruction of topo-logically accurate 3-dimensional triangular meshes representing a complex, multi-layered plant tissue structure. Based on time sequences of meristem images of the model plant Arabidopsis thaliana, displaying fluorescence markers on either cell membranes or cell nuclei under confocal laser scanning microscopy, we aim at obtaining faithful reconstructions of all the cell walls in the tissue. In the presented method, the problem is tackled under the angle of topology, and the shape of the cells is seen as the dual geometry of a 3-d simplicial complex accounting for their adjacency relationships. We present a method for optimizing such complexes using an energy minimization process, designed to make them fit to the actual adjacencies in the tissue. The resulting dual meshes constitute a light discrete representation of the cell surfaces that enables fast visualization, and quantitative analysis, and allows in silico physical and mechanical simulations on real-world data.
Fichier principal
Vignette du fichier
07335513.pdf (1.19 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01246580 , version 1 (18-12-2015)

Identifiers

Cite

Guillaume Cerutti, Sophie Ribes, Christophe Godin, Carlos Galvan Ampudia, Teva Vernoux. 3D Tessellation of Plant Tissue A dual optimization approach to cell-level meristem reconstruction from microscopy images. International Conference on 3D Vision, Oct 2015, Lyon, France. pp.9, ⟨10.1109/3DV.2015.57⟩. ⟨hal-01246580⟩
317 View
468 Download

Altmetric

Share

More