Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Using stochastic cellular automata to model and define sufficient conditions for the survival of Enterococcus faecalis biofilms with the pCF10 plasmid under erythromycin treatment.

PLoS computational biology·2025

Same author

Calcium modeling of spine apparatus-containing human dendritic spines demonstrates an "all-or-nothing" communication switch between the spine head and dendrite.

PLoS computational biology·2022

Same author

Development of a New Bead Movement-Based Computational Framework Shows that Bacterial Amyloid Curli Reduces Bead Mobility in Biofilms.

Journal of bacteriology·2020

Same author

Musculoskeletal adaptations to strength training in frail elderly: a matter of quantity or quality?

Journal of cachexia, sarcopenia and muscle·2020

Same author

Spine-to-Dendrite Calcium Modeling Discloses Relevance for Precise Positioning of Ryanodine Receptor-Containing Spine Endoplasmic Reticulum.

Scientific reports·2018

Same author

What Is Required for Neuronal Calcium Waves? A Numerical Parameter Study.

Journal of mathematical neuroscience·2018

Same journal

Metabolically Faithful 3D PET Restoration via Volumetric Swin Transformers.

Neuroinformatics·2026

Same journal

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training.

Neuroinformatics·2026

Same journal

Increasing the Reliability of Functional Connectivity by Predicting Long-Scan Functional Connectivity based on Short-Scan Functional Connectivity: Model Exploration, Explanation, Validation, and Application.

Neuroinformatics·2026

Same journal

HESREN: A Derivative-Informed Reservoir Framework for Detecting Transient Neural Events and Windowless Estimation of Dynamic Functional Connectivity.

Neuroinformatics·2026

Same journal

Computational Morphometry of Peripheral Nerves: A Pipeline Perspective on Reproducibility and Generalization.

Neuroinformatics·2026

Same journal

Multimodal Branched Transport Infers Anatomically Aligned Brain Reaction Maps.

Neuroinformatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 3, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

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

Konstantin Mörschel¹, Markus Breit¹, Gillian Queisser²

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

Neuroinformatics

|April 28, 2017

Summary

This summary is machine-generated.

AnaMorph automatically creates 3D surface meshes from 1D neuron morphology data. This enables detailed simulations of cellular behavior and structure-function studies in neuroscience and beyond.

Keywords:

3D simulation AnaMorph Geometric modeling NeuroMorpho.Org Neuron reconstruction

More Related Videos

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Related Experiment Videos

Last Updated: Mar 3, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Area of Science:

Computational neuroscience
Biomedical engineering
Scientific visualization

Background:

1D morphology data is abundant in neuroscience but unsuitable for 3D simulations.
Generating complex computational domains for simulations is challenging.

Purpose of the Study:

To present AnaMorph, a novel framework for generating watertight surface meshes from 1D point-diameter files.
To enable detailed 3D simulations of cellular electrical and biochemical behavior.
To facilitate structure-function interplay studies in the medical field.

Main Methods:

Automatic generation of watertight surface meshes from 1D point-diameter data.
Quality control for semi-automatically reconstructed cells.
Development of numerical methods for complex geometry simulations.

Main Results:

Successful generation of 3D surface triangulations from 1D morphology data.
Enabling of detailed simulations of cellular electrical and biochemical properties.
Facilitation of advanced structure-function relationship studies.

Conclusions:

AnaMorph bridges the gap between 1D data and 3D simulations in neuroscience.
The toolset extends classical reduced-dimension modeling to full 3D.
The numerical methods have broader applications in simulating complex geometries.