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Generating Neuron Geometries for Detailed Three-Dimensional Simulations Using AnaMorph

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Abstract

Generating realistic and complex computational domains for numerical simulations is often a challenging task. In neuroscientific research, more and more one-dimensional morphology data is becoming publicly available through databases. This data, however, only contains point and diameter information not suitable for detailed three-dimensional simulations. In this paper, we present a novel framework, AnaMorph, that automatically generates water-tight surface meshes from one-dimensional point-diameter files. These surface triangulations can be used to simulate the electrical and biochemical behavior of the underlying cell. In addition to morphology generation, AnaMorph also performs quality control of the semi-automatically reconstructed cells coming from anatomical reconstructions. This toolset allows an extension from the classical dimension-reduced modeling and simulation of cellular processes to a full three-dimensional and morphology-including method, leading to novel structure-function interplay studies in the medical field. The developed numerical methods can further be employed in other areas where complex geometries are an essential component of numerical simulations.

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Authors and Affiliations

  1. Goethe Center for Scientific Computing, Goethe University Frankfurt, Kettenhofweg 139, 60325, Frankfurt am Main, Germany

    Konstantin Mörschel & Markus Breit

  2. Department of Mathematics, Temple University, 1805 N Broad Street, Philadelphia, PA, 19122-6094, USA

    Gillian Queisser

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  1. Konstantin Mörschel
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  2. Markus Breit
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  3. Gillian Queisser
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Correspondence to Gillian Queisser.

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Mörschel, K., Breit, M. & Queisser, G. Generating Neuron Geometries for Detailed Three-Dimensional Simulations Using AnaMorph. Neuroinform 15, 247–269 (2017). https://doi.org/10.1007/s12021-017-9329-x

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