Literature DB >> 21383404

A neuron membrane mesh representation for visualization of electrophysiological simulations.

Sébastien Lasserre1, Juan Hernando, Sean Hill, Felix Schümann, Pedro de Miguel Anasagasti, Georges Abou Jaoudé, Henry Markram.   

Abstract

We present a process to automatically generate three-dimensional mesh representations of the complex, arborized cell membrane surface of cortical neurons (the principal information processing cells of the brain) from nonuniform morphological measurements. Starting from manually sampled morphological points (3D points and diameters) from neurons in a brain slice preparation, we construct a polygonal mesh representation that realistically represents the continuous membrane surface, closely matching the original experimental data. A mapping between the original morphological points and the newly generated mesh enables simulations of electrophysiolgical activity to be visualized on this new membrane representation. We compare the new mesh representation with the state of the art and present a series of use cases and applications of this technique to visualize simulations of single neurons and networks of multiple neurons.

Mesh:

Year:  2012        PMID: 21383404     DOI: 10.1109/TVCG.2011.55

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  13 in total

1.  Generating Neuron Geometries for Detailed Three-Dimensional Simulations Using AnaMorph.

Authors:  Konstantin Mörschel; Markus Breit; Gillian Queisser
Journal:  Neuroinformatics       Date:  2017-07

2.  Water-tight membranes from neuronal morphology files.

Authors:  Robert A McDougal; Michael L Hines; William W Lytton
Journal:  J Neurosci Methods       Date:  2013-09-30       Impact factor: 2.390

3.  NetMets: software for quantifying and visualizing errors in biological network segmentation.

Authors:  David Mayerich; Chris Bjornsson; Jonathan Taylor; Badrinath Roysam
Journal:  BMC Bioinformatics       Date:  2012-05-18       Impact factor: 3.169

4.  A framework for the first-person internal sensation of visual perception in mammals and a comparable circuitry for olfactory perception in Drosophila.

Authors:  Kunjumon I Vadakkan
Journal:  Springerplus       Date:  2015-12-30

5.  NeuroTessMesh: A Tool for the Generation and Visualization of Neuron Meshes and Adaptive On-the-Fly Refinement.

Authors:  Juan J Garcia-Cantero; Juan P Brito; Susana Mata; Sofia Bayona; Luis Pastor
Journal:  Front Neuroinform       Date:  2017-06-22       Impact factor: 4.081

6.  Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation.

Authors:  Marwan Abdellah; Ahmet Bilgili; Stefan Eilemann; Julian Shillcock; Henry Markram; Felix Schürmann
Journal:  BMC Bioinformatics       Date:  2017-02-15       Impact factor: 3.169

7.  Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations.

Authors:  Marwan Abdellah; Alessandro Foni; Eleftherios Zisis; Nadir Román Guerrero; Samuel Lapere; Jay S Coggan; Daniel Keller; Henry Markram; Felix Schürmann
Journal:  Bioinformatics       Date:  2021-07-12       Impact factor: 6.937

8.  Neuronize: a tool for building realistic neuronal cell morphologies.

Authors:  Juan P Brito; Susana Mata; Sofia Bayona; Luis Pastor; Javier Defelipe; Ruth Benavides-Piccione
Journal:  Front Neuroanat       Date:  2013-06-03       Impact factor: 3.856

9.  Physically-based in silico light sheet microscopy for visualizing fluorescent brain models.

Authors:  Marwan Abdellah; Ahmet Bilgili; Stefan Eilemann; Henry Markram; Felix Schürmann
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

10.  Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies.

Authors:  Marwan Abdellah; Juan Hernando; Nicolas Antille; Stefan Eilemann; Henry Markram; Felix Schürmann
Journal:  BMC Bioinformatics       Date:  2017-09-13       Impact factor: 3.169

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