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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.
Abstract:
Microglia are myeloid-derived immune cells of the central nervous system that mediate tissue degradation and remodeling following neurological injury and have emerged as promising therapeutic targets in several neurodegenerative diseases. Quantitative analysis of microglial morphology can reveal subtle differences among microglial subpopulations while preserving important in situ information. However, many currently available microglial morphology analysis platforms are either not publicly accessible or require specialized computational expertise, thereby limiting their widespread adoption. To address these limitations, an open-source microglial morphology analysis platform, termed Mapping Microglial Parameters Software (MMPS), using Python 3.11 was developed. MMPS is compatible with immunofluorescence-based workflows and requires no coding expertise for installation or operation. The software semi-automates single-cell microglial morphology analysis through an accessible graphical user interface and incorporates customizable image-processing and mask-generation workflows. The study involves validating MMPS using a rodent lipopolysaccharide (LPS)-induced neuroinflammation model. Quantitative animal-level analysis demonstrated that microglia from LPS-treated animals exhibited significantly increased soma area (p < 0.01) and reduced cell perimeter (p < 0.05) compared with vehicle-treated controls, consistent with morphological features associated with microglial activation and neuroinflammation. Overall, MMPS provides a standardized, reproducible platform for quantitative analysis of microglial morphology across laboratories.
Insights
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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