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Mapping Microglial Parameters Software (MMPS): An Open-Source, User-Friendly Tool for Quantitative Microglia
Dominick S Cicala1, Al Zadid Sultan Bin Habib2, A S M Roknuzzaman1
1Department of Pharmaceutical Sciences, School of Pharmacy, West Virginia University.
A new open-source software, Mapping Microglial Parameters Software (MMPS), enables accessible quantitative analysis of microglial morphology. This tool aids research into neurodegenerative diseases by standardizing microglial activation studies.
Area of Science:
- Neuroscience
- Immunology
- Computational Biology
Background:
- Microglia are key immune cells in the central nervous system, implicated in neurodegenerative diseases.
- Analyzing microglial morphology provides insights into their function and activation states.
- Existing analysis tools often lack accessibility or require specialized computational skills.
Purpose of the Study:
- To develop an open-source, user-friendly software platform for quantitative microglial morphology analysis.
- To overcome limitations of current, often inaccessible, microglial analysis tools.
- To facilitate widespread adoption of microglial morphology analysis in research.
Main Methods:
- Development of Mapping Microglial Parameters Software (MMPS) using Python 3.11.
- MMPS features a graphical user interface for semi-automated, single-cell analysis.
- Validation using a rodent lipopolysaccharide (LPS)-induced neuroinflammation model.
Main Results:
- MMPS successfully quantified morphological differences in microglia.
- LPS-treated animals showed significantly increased soma area and reduced cell perimeter in microglia (p < 0.01 and p < 0.05, respectively).
- Observed morphological changes align with known features of microglial activation and neuroinflammation.
Conclusions:
- MMPS offers a standardized and reproducible platform for microglial morphology analysis.
- The software enhances accessibility for researchers studying neuroinflammation and neurodegenerative diseases.
- MMPS supports immunofluorescence-based workflows without requiring coding expertise.
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