Related Experiment Video
Updated: May 14, 2026
13:26
Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
Published on: August 11, 2016
Neurient: an algorithm for automatic tracing of confluent neuronal images to determine alignment
Jennifer A Mitchel1, Ian S Martin, Diane Hoffman-Kim
1Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, RI 02912, USA.
Journal of Neuroscience Methods
|February 7, 2013
Summary
Researchers developed Neurient, an automated Matlab algorithm, to quantify neuronal alignment in tissue engineering. This open-source tool simplifies analysis of neuron growth on guidance materials.
Area of Science:
- Neural tissue engineering
- Biomaterials science
- Neuroscience
Background:
- Evaluating neuronal response to guidance materials is crucial for neural tissue engineering.
- Current quantitative methods are limited, expensive, or require manual tracing.
Purpose of the Study:
- To develop and present an automated, open-source algorithm for tracing and quantifying neuronal alignment.
- To overcome limitations of existing methods for analyzing neuron-guidance material interactions.
Main Methods:
- Developed a Matlab-based algorithm (Neurient) for automated neurite tracing and alignment quantification.
- Algorithm involves computing directional lookup tables, identifying seed points, and tracing neurites.
- Applied to complex, densely cultured neuronal images.
Main Results:
- Successfully obtained quantitative alignment data from complex neuronal cultures.
- Enabled unsupervised processing of large image datasets.
- Provided metrics like angular histograms, percent alignment, and mean neurite angle.
Conclusions:
- Neurient offers a standardized, open-source solution for quantitative evaluation of neuronal alignment.
- Facilitates comparison of neuronal responses across various experimental conditions.
- Aims to advance neural tissue engineering research by providing accessible analysis tools.
