AUTHOR=Vasan Ritvik , Rowan Meagan P. , Lee Christopher T. , Johnson Gregory R. , Rangamani Padmini , Holst Michael TITLE=Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations JOURNAL=Frontiers in Physics VOLUME=7 YEAR=2020 URL=https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2019.00247 DOI=10.3389/fphy.2019.00247 ISSN=2296-424X ABSTRACT=

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.