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MyeliMetric: A Python-Based Toolbox for Standardized G-Ratio Analysis of Axon-Myelin Integrity.

Intakhar Ahmad1,2, Farjana Sultana Chowdhury3, Anne I Boullerne1,2

  • 1Department of Anesthesiology, University of Illinois, Chicago, Illinois, USA.

ASN Neuro
|December 23, 2025
PubMed
Summary

MyeliMetric is a new open-source tool for analyzing the g-ratio, a key indicator of myelin integrity. This Python toolbox ensures accurate myelin thickness assessment in neurological research by standardizing g-ratio analysis.

Keywords:
Axon diameterG-ratio analysisdemyelinationmyelinpython toolbox

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Biology

Background:

  • The g-ratio (axon diameter/total fiber diameter) is crucial for assessing myelin integrity and axonal conduction velocity in the central and peripheral nervous systems.
  • Pathological conditions often manifest as deviations in the g-ratio, highlighting its diagnostic importance.
  • A lack of standardized, open-source tools for g-ratio analysis from electron microscopy images hinders research.

Purpose of the Study:

  • To develop MyeliMetric, a user-friendly, open-source Python toolbox for streamlined g-ratio analysis.
  • To provide biologically informed validation for g-ratio data, minimizing analytical errors and statistical expertise requirements.
  • To address limitations in conventional g-ratio analyses, such as insufficient sampling and artifacts.

Main Methods:

  • Development of MyeliMetric, a Python-based toolbox for g-ratio data preprocessing and analysis.
  • Implementation of a binning strategy to group axons into biologically relevant diameter cohorts for assessing size-dependent g-ratio distributions.
  • Validation using synthetic datasets and published data from rodent models of demyelination.

Main Results:

  • MyeliMetric accurately and reproducibly analyzes g-ratio data, providing biologically relevant insights.
  • The tool reliably detected reductions in myelin thickness in experimental demyelination models.
  • Validation demonstrated MyeliMetric's ability to minimize artifacts common in conventional g-ratio analyses.

Conclusions:

  • MyeliMetric offers a standardized, open-source solution for g-ratio analysis, improving myelin integrity assessment.
  • The toolbox enhances the reliability and biological relevance of g-ratio measurements in neuroscience research.
  • MyeliMetric is available on GitHub, promoting accessibility and collaborative advancements in neuroimaging analysis.