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Cell pattern labelling is incorporated into the reaction-diffusion model by dealing with the total population as two socializing subpopulations. Useful identifiability is analyzed making use of a Bayesian Markov sequence Monte Carlo (MCMC) framework, confirming that the variables are identifiable as soon as we assume the diffusivities regarding the subpopulations tend to be identical, but that the variables are almost non-identifiable whenever we enable the d