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Updated: May 22, 2026

A Neurite Outgrowth Assay and Neurotoxicity Assessment with Human Neural Progenitor Cell-Derived Neurons
Published on: August 6, 2020
NeuroQuantify - An image analysis software for detection and quantification of neuron cells and neurite lengths using
Ka My Dang1, Yi Jia Zhang2, Tianchen Zhang2
1Max Planck Institute of Microstructure Physics, Weinberg 2, Halle D-06120, Germany; Max Planck-University of Toronto Centre for Neural Science and Technology, Canada.
NeuroQuantify is a new open-source software that uses deep learning for fast and accurate segmentation of cells and neurites in neuronal network images. This tool aids in quantifying neuron growth and network development for research.
Area of Science:
- Neuroscience
- Biotechnology
- Image Analysis
Background:
- Accurate segmentation of cells and neurites in neuronal network microscopy images is crucial for quantitative analysis of neuron growth and differentiation.
- This analysis provides insights into neuronal structures, essential for studying neurodegenerative diseases and pharmaceutical effects.
Purpose of the Study:
- To develop an efficient and accurate open-source software for segmenting cells and neurites in phase contrast microscopy images of neuronal networks.
Main Methods:
- Development of NeuroQuantify, an open-source software utilizing deep learning for image segmentation.
- The software processes phase contrast microscopy images to analyze neuronal structures.
Main Results:
- NeuroQuantify enables automatic detection and segmentation of cells and neurites.
- It provides quantitative measurements of neurite length and identification of neurite orientations.
- The software overcomes limitations of existing methods for automatic neuronal structure analysis.
Conclusions:
- NeuroQuantify offers a valuable, user-friendly tool for rapid and effective assessment of neuronal network development.
- The software is freely available for download on GitHub, promoting wider research accessibility.
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