  In this work, we introduce a novel computational framework that we developed
to use numerical simulations to investigate the complexity of brain tissue at a
microscopic level with a detail never realised before. Directly inspired by the
advances in computational neuroscience for modelling brain cells, we propose a
generative model that enables us to simulate molecular diffusion within
realistic digitalised brain cells, such as neurons and glia, in a completely
controlled and flexible fashion. We validate our new approach by showing an
excellent match between the morphology and simulated DW-MR signal of the
generated digital model of brain cells and those of digital reconstruction of
real brain cells from available open-access databases. We demonstrate the
versatility and potentiality of the framework by showing a select set of
examples of relevance for the DW-MR community. Further development is ongoing,
which will support even more realistic conditions like dense packing of
numerous 3D complex cell structures and varying cell surface permeability.
