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3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries.

Christopher T Lee1, Justin G Laughlin1, Nils Angliviel de La Beaumelle1

  • 1Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, California, United States of America.

Plos Computational Biology
|April 7, 2020
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Summary
This summary is machine-generated.

GAMer 2 software enables 3D cellular simulations by creating watertight meshes from electron microscopy data. This advances in silico biology by bridging imaging and finite element method simulations for realistic cellular process modeling.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Cell Biology

Background:

  • Electron microscopy now allows 3D imaging of single cells at nanometer resolution.
  • Simulating cellular processes requires 3D volume meshes from these images.

Purpose of the Study:

  • To introduce GAMer 2 software for generating simulation-ready meshes from electron micrographs.
  • To demonstrate a workflow for creating boundary-marked tetrahedral meshes for finite element simulations.

Main Methods:

  • Utilized the rewritten GAMer 2 mesh processing software.
  • Applied a workflow to electron micrographs of neuronal dendrite morphology.
  • Generated boundary-marked tetrahedral meshes compatible with finite element analysis.

Main Results:

  • Successfully bridged the gap between raw micrograph data and simulation-ready meshes.
  • Demonstrated suitability of generated meshes for finite element simulations.
  • Validated the workflow across multiple length scales for neuronal dendrite morphology.

Conclusions:

  • GAMer 2 facilitates routine physical simulations of biological processes in realistic cellular geometries.
  • This work opens a new frontier in computational technologies for single-cell biology.
  • Enables realistic physical models advancing discovery at the geometry-cellular process interface.