Authors:
Guillaume Cerutti
and
Christophe Godin
Affiliation:
INRIA, France
Keyword(s):
Mesh Optimization, Shoot Apical Meristem, Deformable Models, Cell Reconstruction, Morphogenesis.
Related
Ontology
Subjects/Areas/Topics:
Bioimaging
;
Biomedical Engineering
;
Confocal Microscopy
;
Image Processing Methods
Abstract:
We address in this paper the problem of reconstructing a mesh representation of plant cells in a complex,
multi-layered tissue structure, based on segmented images obtained from confocal microscopy of shoot apical
meristem of model plant Arabidopsis thaliana. The construction of such mesh structures for plant tissues is
currently a missing step in the existing image analysis pipelines. We propose a method for optimizing the
surface triangular meshes representing the tissue simultaneously along several criteria, based on an initial
low-quality mesh. The mesh geometry is deformed by iteratively minimizing an energy functional defined
over this discrete surface representation. This optimization results in a light discrete representation of the
cell surfaces that enables fast visualization, and quantitative analysis, and gives way to in silico physical and
mechanical simulations on real-world data. We provide a framework for evaluating the quality of the cell
tissue reconstruction, that
underlines the ability of our method to fit multiple optimization criteria.
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