  In this perspective, we examine three key aspects of an end-to-end pipeline
for realistic cellular simulations: reconstruction and segmentation of cellular
structures; generation of cellular structures; and mesh generation, simulation,
and data analysis. We highlight some of the relevant prior work in these
distinct but overlapping areas, with a particular emphasis on current use of
machine learning technologies, as well as on future opportunities.
