Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neuron Structure01:31

Neuron Structure

196.7K
Overview
196.7K

You might also read

Related Articles

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

Sort by
Same author

Evaluation of a Room-Temperature Preservation Method Maintaining Viability and Function in Human Cardiac Organoids.

Cells·2026
Same author

Optimizing macrophage-targeted intracellular delivery systems for safe and effective immunotherapies.

Advanced drug delivery reviews·2026
Same author

Kv7.2 loss-of-function causes early hyperexcitability and network remodelling.

Brain : a journal of neurology·2026
Same author

Expertise is the new infrastructure.

Journal of microscopy·2026
Same author

Unperturbed dye-based imaging of spontaneous synchronized calcium activity in iPSC-derived neuronal cultures.

iScience·2026
Same author

Calciprotein particles disrupt autophagy in vascular endothelial cells and smooth muscle cells.

Atherosclerosis plus·2026

Related Experiment Video

Updated: May 6, 2026

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
05:28

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

1.9K

MorphoNeuroNet: an automated method for dense neurite network analysis.

Giuseppe Pani1, Winnok H De Vos, Nada Samari

  • 1Radiobiology Unit, Molecular and Cellular Biology Expert Group, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium; Cell Systems and Imaging Research Group (CSI), Department of Molecular Biotechnology, Ghent University, Ghent, Belgium.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|November 14, 2013
PubMed
Summary

A new automated method, MorphoNeuroNet, accurately quantifies neuronal morphology and neurite network density in complex, dense neuronal cultures. This tool enhances the analysis of neuronal regeneration and disease models.

Keywords:
ImageJimage analysismature neuronal networkneurite tracingneuronal morphology

More Related Videos

Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales
11:41

Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales

Published on: November 14, 2010

33.4K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

1.8K

Related Experiment Videos

Last Updated: May 6, 2026

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
05:28

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

1.9K
Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales
11:41

Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales

Published on: November 14, 2010

33.4K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

1.8K

Area of Science:

  • Neuroscience
  • Cell Biology
  • Biotechnology

Background:

  • High-content cell-based screens are crucial for neuronal regeneration research.
  • Existing automated image analysis methods struggle with dense, well-connected neuronal networks.
  • Dense neuronal cultures are valuable for studying synaptogenesis and neuronal development.

Purpose of the Study:

  • To develop a fully automated method for quantifying neuronal morphology and neurite network density in dense neuronal cultures.
  • To overcome limitations of current tools in analyzing complex neuronal structures.
  • To provide a robust analysis method for neuronal cultures grown for over 10 days.

Main Methods:

  • Developed MorphoNeuroNet, an ImageJ script utilizing adaptive region growing for soma segmentation and a combination of intensity/edge detection for neurite delineation.
  • Employed a multi-tier image analysis pipeline.
  • Validated the method on dense neuronal cultures.

Main Results:

  • MorphoNeuroNet accurately quantifies morphological parameters of soma and neurites (size, shape, starting points, fractional occupation).
  • Demonstrated superior performance compared to existing analysis tools, particularly for subtle changes in thin neurites.
  • Successfully revealed changes in neurites with weak fluorescence intensity.

Conclusions:

  • MorphoNeuroNet offers a superior solution for analyzing dense neuronal cultures.
  • The method facilitates the determination of compound effects on neuronal networks.
  • Enhances the physiological relevance of cell-based assays for neuronal diseases and regeneration studies.