The computational analysis of embryogenesis thanks to bioimaging technologies is helping to understand embryogenesis and the role of physics and genetics during the development of animal models.
This paradigm of research is, among other things, the future of personalised medicine, stem cells application and tissue engineering.
The methodology I developed in collaboration with UPM-BIT, CNRS-Bioemergences and UCSD-delAlamo helps to generate computational representation of cells history throughout development from time-lapse discrete imaging data. This is a novel computational approach to embryogenesis with great potential to understand the role of mechanics and genetics and decipher how life develops and its emergent properties: robustness, variability and resilience.
Open access scientific manuscript is available here https://www.biorxiv.org/content/early/2016/10/19/054353