Morphologie et Images
Morphologie et Images

The scientific objectives of MORPHEME are to characterize and model the development and the morphological properties of biological structures from the cell to the supra-cellular scale. Being at the interface between computational science and biology, we plan to understand the morphological changes that occur during development combining in vivo imaging, image processing and computational modelling. The morphology and topology of mesoscopic structures, indeed, do have a key influence on the functional behaviour of organs. Our goal is to characterize different populations or development conditions based on the shape of cellular and supra-cellular structures, including micro-vascular networks and dendrite/axon networks. Using 2D, 2D+t, 3D or 3D+t images (acquired with confocal microscopy, video-microscopy, 2-photon microscopy or micro-tomography), we plan to extract quantitative parameters to characterize morphometry over time and in different samples. We then statistically analyse shapes and complex structures to identify relevant markers and define classification tools. Finally, we propose models explaining the temporal evolution of the observed samples. With this, we hope to better understand the development of normal tissues, but also characterize at the supra-cellular level different pathologies such as the Fragile X Syndrome, Alzheimer or diabetes.

Centre(s) inria
In partnership with
CNRS,Université Côte d'Azur


Team leader

Isabelle Strobant

Team assistant