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Related Experiment Video

Updated: Apr 25, 2026

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

Visualizing in vivo brain neural structures using volume rendered feature spaces.

Megumi Nakao¹, Kosuke Kurebayashi², Tadao Sugiura²

¹Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo, Kyoto, Japan.

Computers in Biology and Medicine

|August 18, 2014

Summary

This summary is machine-generated.

This study introduces new visualization software for analyzing complex 3D neural structures from two-photon microscopy data. The tool effectively visualizes and characterizes neuronal morphology in living mouse brains, aiding biological discovery.

Keywords:

Feature analysis Neural structures Two-photon microscopy Volume visualization

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Last Updated: Apr 25, 2026

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

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3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

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Exploring Deep Space - Uncovering the Anatomy of Periventricular Structures to Reveal the Lateral Ventricles of the Human Brain

Exploring Deep Space - Uncovering the Anatomy of Periventricular Structures to Reveal the Lateral Ventricles of the Human Brain

Published on: October 22, 2017

Area of Science:

Neuroscience
Bioimaging
Computational Biology

Background:

Cortical neuron dendrites span multiple brain layers.
Advanced two-photon microscopy enables imaging of deep brain structures and generates large volumetric datasets.
Visualizing complex neuronal morphology in living tissue presents significant challenges.

Purpose of the Study:

To develop novel visualization software and an interface for exploring the 3D structure and connectivity of dendrites.
To enable the analysis of large, multidimensional imaging datasets from living brain tissue.
To characterize neuronal features using advanced visualization techniques.

Main Methods:

Developed 3D visualization software utilizing a new transfer function design with volume rendered feature spaces.
Integrated visualization of multidimensional descriptors for shape and texture analysis.
Applied algorithms to process and visualize large volumetric datasets from two-photon microscopy.

Main Results:

Successfully applied the software to two-photon microscopy images of a living mouse brain.
Identified distinct feature values to differentiate key neuronal structures like soma, dendrites, and apical dendrites.
Demonstrated superior visualization capabilities compared to conventional 1D/2D transfer function systems.

Conclusions:

A new visualization tool and interface were created to represent 3D feature values as textures and shapes.
The system facilitates the analysis and characterization of high-dimensional feature values in living tissues at the micron level.
This advancement is expected to contribute to novel discoveries in basic biology and clinical medicine.