Frontiers in Physics (Jan 2020)

Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations

  • Ritvik Vasan,
  • Meagan P. Rowan,
  • Christopher T. Lee,
  • Gregory R. Johnson,
  • Padmini Rangamani,
  • Michael Holst,
  • Michael Holst

DOI
https://doi.org/10.3389/fphy.2019.00247
Journal volume & issue
Vol. 7

Abstract

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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.

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