Etude des changements de forme durant l'embryogenese

 Stage · Stage M2  · 6 mois    Bac+5 / Master   Equipe MORPHEME, INRIA/I3S · Sophia Antipolis (France)  gratification d'environ 615 euros/mois

 Date de prise de poste : 1 mars 2024


biologie du développement apprentissage machine classification statistiques


Developmental biology aims to better understand the morphogenesis. Image-based studies represent a method of choice therefore. From now on, microscopy techniques enable acquisition of temporal sequences of 3D images with a spatio-temporal resolution good enough to follow the embryo or organ development at sub-cellular scale [1]. While each still image allows to individualize each cell, the study of the temporal series may allow to extract the cell lineage and thus to follow one cell during the development and to recognize the cell division.

The acquisition of 3D+t series results in huge quantities of data. Obviously, manual analysis of such amount of images is not possible and sophisticated image analysis tools have been developed in the recent years for this particular goal [2]. A first study [3] has already permits to segment the cells and to track them along time, each acquisition being made of more than a hundred of 3D images. This approach has been successfully adapted to temporal series of sea urchin embryo images [4] in a joint research between the Morpheme team and Rauzi’s team that has resulted in the segmentation of several 3D+t microscopic acquisitions of developing sea urchin embryos. That has allowed a quantified morphometric of the embryo cells all along the acquisition. Such results give access to a detailed morphometric analysis of single cell shapes.

We are interested in the gastrulation phase of the sea urchin embryo. During this phase, a cavity appears which implies mechanical constraints at the cellular level. Such constraints also cause specific cell shape evolution. The goal of this internship is then to characterize the 3D cell shape evolution at an individual level and to recognize cell population exhibiting similar evolution. In a first step, the so-called bottle cells, where the ratio between basal and apical surfaces rapidly evolves, will be investigated. Classification/clustering techniques will help to characterize sub-populations of cells in the developing embryos.


  1.  Last year of master in computer sciences or applied mathematics
  2. Knowledge in image processing, preferably 3D
  3. Computer skills: programming (python), image processing/graphics libraries
  4. Written and spoken English

Practical information:

  • This work takes place in a collaboration between IBV (M. Rauzi’s team) and Morpheme, a joint research team between INRIA, CNRS and the University of Nice Côte d’Azur.


[1] PJ Keller, “Imaging Morphogenesis: Technological Advances and Biological Insights,” Science, vol. 340, no. 6137, pp. 1234168+, June 2013.

[2] R Fernandez, P Das, V Mirabet, E Moscardi, J Traas, JL Verdeil, G Malandain, and C Godin, “Imaging plant growth in 4-d: robust tissue reconstruction and lineaging at cell resolution,”Nat Meth, vol. 7, pp. 547–553, 2010.

[3] Guignard, L., Fiuza, U.-M., Leggio, B., Laussu, J., Faure, E., Michelin, G., Biasuz, K., Hufnagel, L., Malandain, G., Godin, C., and Lemaire, P. (2020). Contact-area dependent cell communications and the morphological invariance of ascidian embryogenesis. Science, accepted for publication.

[4] Moullet, A. (2020) “Automated segmentation of sea urchin embryos”, Ms thesis.


Procédure : To candidate, please send a curriculum vitae, referees coordinates and a motivation letter to Grégoire Malandain (

Date limite : 31 décembre 2023


Grégoire Malandain

Offre publiée le 2 novembre 2023, affichage jusqu'au 31 décembre 2023