Inference of growth pattern from experimental measurements
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Experimental techniques allow to measure deformed configurations during embryogenesis at the macroscale or even at the cellular level. However, the growth patterns that cause such developmental processes are more elusive, and can be only computationally estimated. Importantly, imaging techniques only allow to capture partial domains of the whole organism, raising uncertainties on the boundary conditions. We propose in this work an inverse method based on a dynamic regularisation in order to deduce the growth field and boundary loads that best match two measured configurations.
