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

Neuron Structure

Neuron Structure

Neurons: The Cell Body and the Dendrites

Neurons: The Cell Body and the Dendrites

A typical nerve cell comprises three main components: the cell body, dendrites, and the axon. The cell body, also known as the soma or perikaryon, serves as the central biosynthetic hub housing a nucleus surrounded by cytoplasm containing organelles commonly found in most cells. Notably, Nissl bodies, clusters of the rough endoplasmic reticulum and free ribosomes responsible for protein synthesis, are distinctive features of the neuronal cell body. As neurons age, aggregates of a brown pigment...

You might also read

Related Articles

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

Sort by

Same author

Axonal injury signaling is restrained by a spared synaptic branch.

eLife·2025

Same author

A parallelly distributed microscope and software system for scalable high-throughput multispectral 3D imaging.

bioRxiv : the preprint server for biology·2025

Same author

Emergence of inflammatory fibroblasts with aging in Hermansky-Pudlak syndrome associated pulmonary fibrosis.

Communications biology·2025

Same author

A method for efficient, rapid, and minimally invasive implantation of individual non-functional motes with penetrating subcellular-diameter carbon fiber electrodes into rat cortex.

bioRxiv : the preprint server for biology·2025

Same author

Spatiotemporal dynamics of primary and motile cilia throughout lung development.

bioRxiv : the preprint server for biology·2024

Same author

Chronic Hypoxia in an EXTrauterine Environment for Neonatal Development Impairs Lung Development.

American journal of respiratory cell and molecular biology·2024

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: Oct 1, 2025

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

nGauge: Integrated and Extensible Neuron Morphology Analysis in Python.

Logan A Walker^1,2, Jennifer S Williams³, Ye Li⁴

¹Biophysics Program, University of Michigan LS&A, Ann Arbor, MI, USA.

Neuroinformatics

|March 5, 2022

Summary

This summary is machine-generated.

nGauge is a new Python toolkit for analyzing neuron morphology data. It offers advanced quantification and visualization capabilities beyond existing software, improving data compatibility and analysis pipelines.

Keywords:

Neuron morphometrics Neuron reconstruction Neuron visualization

More Related Videos

Analyzing Dendritic Morphology in Columns and Layers

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Related Experiment Videos

Last Updated: Oct 1, 2025

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Analyzing Dendritic Morphology in Columns and Layers

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

Neuroscience
Bioinformatics
Computational Biology

Background:

Quantifying neuron morphology is crucial for understanding neuronal diversity across subtypes and species.
Existing software for analyzing neuron tracing data (SWC format) offers limited quantification and lacks extensibility.
The non-extendable architecture of current tools hinders advanced data analysis and visualization.

Purpose of the Study:

To develop a flexible and extendable Python toolkit, nGauge, for parsing and analyzing neuron morphology data.
To provide an application programming interface (API) enabling integration with other open-source software for custom analysis pipelines and advanced visualizations.
To create a lightweight, extendable data structure compatible with both linear reconstructions (SWC) and volumetric data (e.g., soma).

Main Methods:

Development of nGauge, a Python toolkit utilizing an extendable data structure.
Implementation of parsing and analysis functionalities for neuron morphology data.
Design of nGauge as an API for integration with existing bioinformatics software.

Main Results:

nGauge provides robust and comprehensive methods for quantifying neuron morphology differences.
The toolkit supports advanced data analysis and visualization beyond the capabilities of existing packages.
nGauge's extendable data structure enhances compatibility with diverse morphological data, including volumetric information.

Conclusions:

nGauge offers a powerful and flexible solution for neuron morphology analysis.
The toolkit facilitates the creation of custom informatics pipelines and advanced visualizations.
nGauge significantly extends data compatibility and analytical capabilities in neuroscience research.