Research Interests
I am interested in understanding the cellular patterning, quantifying and modelling how they are emerging during development and what factors are regulating them, in order to find the role of the cell organisation in the realisation of the tissue function.
As a biologist by training, I have developed computational expertise during my research experiences by analysing tissue organisation at the cell level with image analysis and modelling methods.
I have a bachelor degree in biology and a masters in cellular systems biology. For my PhD I studied the cellular organisation of the Arabidopsis thaliana embryo. During my previous postdoc I worked on the spatial organisation of cells in epithelia.
In the group of Sarah Robinson at the Sainsbury Laboratory, I am studying the relation between plant cell wall stiffness and cellular growth with modelling and image analysis methods.
Leaf epidermal cell shape shuffling, simulation done with the dmSET algorithm (Laruelle and Genovesio, ISBI, 2022)
Previous Experience
2020-2022: Postdoc in August Genovesio’s group, IBENS, Paris, France.
2018-2020: Postdoc under the supervision of August Genovesio and Nathalie Spassky, IBENS, Paris, France.
2013-2017: PhD Student under the supervision of Jean-Christophe Palauqui, Alain Trubuil and Phillipe Andrey, INRAE, Versailles and Jouy-en-josas, France.
Key Publications
Laruelle, E., Palauqui, J. C., Andrey, P., & Trubuil, A. (2023). TreeJ: an ImageJ plugin for interactive cell lineage reconstruction from static images. Plant Methods, 19(1), 128.https://doi.org/10.1186/s13007-023-01106-x
Laruelle, E., Belcram, K., Trubuil, A., Palauqui, J. C., & Andrey, P. (2022). Large-scale analysis and computer modeling reveal hidden regularities behind variability of cell division patterns in Arabidopsis thaliana embryogenesis. Elife, 11, e79224.https://doi.org/10.7554/eLife.79224
Laruelle, E., & Genovesio, A. (2022, March). Non-Convex Cell Epithelial Modeling Unveils Cellular Interactions. In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. 10.1109/ISBI52829.2022.9761452
Laruelle, E., Spassky, N., & Genovesio, A. (2020). Unraveling spatial cellular pattern by computational tissue shuffling. Communications Biology, 3(1), 605.https://doi.org/10.1038/s42003-020-01323-3
