Related Experiment Video
Updated: Dec 17, 2025
10:00
An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
Published on: August 31, 2012
15.0K
MORPHEUS: An automated tool for unbiased and reproducible cell morphometry
Federico Alessandro Ruffinatti1, Tullio Genova2,3, Federico Mussano2
1Department of Pharmaceutical Sciences, University of Eastern Piedmont, Novara, Italy.
Journal of Cellular Physiology
|June 23, 2020
Summary
A new Fiji/ImageJ2 plugin, MORPHEUS, automates eukaryotic cell morphometry analysis from fluorescence microscopy images. This tool enhances bioimage analysis reproducibility by minimizing human error and bias.
Area of Science:
- Bioimage analysis
- Cell biology
- Microscopy
Background:
- Accurate cell morphometry is crucial for biological research.
- Manual analysis of cell images is time-consuming and prone to errors.
- Automated tools are needed to improve efficiency and reproducibility.
Purpose of the Study:
- To introduce MORPHEUS, a novel Fiji/ImageJ2 plugin for automated cell morphometry.
- To enable unsupervised learning for cell recognition and feature extraction.
- To enhance reproducibility in bioimage analysis.
Main Methods:
- Development of the MORPHEUS plugin for Fiji/ImageJ2.
- Utilizing sampling distributions and a nonparametric approach for unsupervised cell recognition.
- Automated evaluation of cell-shape descriptors, nucleus features, and orientation analysis.
Main Results:
- MORPHEUS provides automated, one-click cell morphometry analysis.
- The plugin learns to recognize suitable cells without supervision.
- It extracts key cell-shape and nucleus features, reducing human bias.
Conclusions:
- MORPHEUS offers a powerful, automated solution for eukaryotic cell morphometry.
- The plugin significantly reduces errors and biases in image analysis.
- MORPHEUS is a valuable tool for improving reproducibility in biological research.
