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Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales

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RMPJ: An ImageJ plugin for morphological information processing in biomedical images.

Yoshitaka Kimori¹

¹Center for Mathematics and Data Science, Gunma University, Maebashi, Gunma, Japan.

Plos Computational Biology

|April 16, 2025

Summary

This summary is machine-generated.

Rotational Morphological Processing (RMP) software enhances low-contrast images and quantifies object features. This tool aids in separating aggregated structures for detailed life science research.

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Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

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Area of Science:

Biomedical Image Analysis
Life Sciences Research
Computational Biology

Background:

Traditional morphological operations have limitations in analyzing complex biological structures.
Enhancing low-contrast images is crucial for accurate feature quantification.
Existing tools may struggle with separating aggregated cellular or tissue components.

Purpose of the Study:

To introduce RMPJ, an ImageJ plugin utilizing rotational morphological processing (RMP).
To enable effective enhancement and quantitative analysis of morphological features in biomedical images.
To facilitate the separation of aggregated structures for improved biological research.

Main Methods:

Implementation of seven image-processing algorithms based on RMP.
Application of RMPJ to biomedical image datasets.
Preprocessing for quantitative morphological analysis.
Utilizing RMP for feature extraction and structure separation.

Main Results:

Demonstrated effective enhancement of low-contrast objects.
Successfully quantified morphological features of analysis objects.
Enabled separation and extraction of multiple aggregated structures.
Provided a method for quantitative analysis of morphological information.

Conclusions:

RMPJ expands the capabilities of ImageJ for biomedical image analysis.
The RMP-based algorithms offer advanced feature extraction and separation.
This software facilitates more in-depth quantitative morphological studies in life sciences.