DOPTERIAN is a translation of the core algorithm of FERENGI (Full and Efficient Redshifting of Ensembles of Nearby Galaxies, Barden et al. 2008) into Python, which includes a more general treatment of the intrinsic luminosity evolution of galaxies as a function of redshift. This algorithm allows to test the hypothesis of evolution studies across large redshift intervals by accounting for image resolution, cosmological surface brightness dimming, and average luminosity evolution effects. In Paulino-Afonso et al. (2017) we use this algorithm to measure the evolution of Ha-selected galaxies sizes across the last 11Gyrs of the Universe taking into account the bias and systematics induced by the aforementioned effects. Here I would like to present the overall description of the algorithm and its application in our research project. Since it can be applied to other studies and it is written in a modular form making the improvements and adaptations really easy to implement, I would like to discuss the improvements that can be implemented to make the code useful for more general applications in predicting and quantifying future observations of distant galaxies.