Imaging and Modeling Growth and plasticity in plant Ovules

IMAGO is a swiss-french consortium gathering scientists of the experimental biology and computational modeling worlds to decipher the basic principles of shape growth and cellular differentiation, using the plant ovule as a paradigm case

IMAGO combines high-resolution static and real-time 3D imaging, quantitative image processing, cell-based growth models and functional approaches to
(1) define cellular growth patterns in the ovule primordium using quantitative imaging
(2) test patterning rules in silico by cell-based growth models
​(3) validate patterning rules in vivo using genetic and pharmacological perturbations; and analyzing sexual
and apomictic grasses

Website updated 20.02.2018 (C.Baroux)

Teams

Daphné Autran
Daniel Grimanelli

Live Imaging (4D),  Reporter-based analyses  of cell cycle and cell growth anisotropy in ovule primordia
Maize, Arabidopsis, Paspalum
Project Members:
Elvira Fernandez-Lagana
​Dr Thomas Vain

Célia Baroux

Static (3D) high-resolution Imaging, cell-based segmentation, ovule patterning atlas at cellular resolution, growth models, Imaris (Bitplane AG), OvuleViz
Project Members:
Ethel Mendocilla-Sato
Nuno Pires
​Gabriella Mosca

Olivier Hamant
Arezki Bouaoud
​Christophe Godin

Tissue Growth Modeling Team
2D toy models, real template-based 4D models, MARS-ALT
Project Members:
Olivier Ali
Guillaume Cerruti