Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations
oleh: Ritvik Vasan, Meagan P. Rowan, Christopher T. Lee, Gregory R. Johnson, Padmini Rangamani, Michael Holst, Michael Holst
| Format: | Article |
|---|---|
| Diterbitkan: | Frontiers Media S.A. 2020-01-01 |
Deskripsi
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.