Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis

Microglia are central to neuroimmune responses and undergo dynamic structural and functional changes in models of stress and addiction, and in response to pharmacological treatments. While transcriptomic and proteomic assays provide insights into molecular profiles, morphological analysis remains a...

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Published in:Cells
Main Authors: Juan P. Taborda-Bejarano, David B. Nowak, Fernando Chaure, Malika L. Allen, Kathryn A. Blek, Stephen Walterhouse, John R. Mantsch, Constanza Garcia-Keller
Format: Article
Language:English
Published: MDPI AG 2025-08-01
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Online Access:https://www.mdpi.com/2073-4409/14/17/1354
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author Juan P. Taborda-Bejarano
David B. Nowak
Fernando Chaure
Malika L. Allen
Kathryn A. Blek
Stephen Walterhouse
John R. Mantsch
Constanza Garcia-Keller
author_facet Juan P. Taborda-Bejarano
David B. Nowak
Fernando Chaure
Malika L. Allen
Kathryn A. Blek
Stephen Walterhouse
John R. Mantsch
Constanza Garcia-Keller
author_sort Juan P. Taborda-Bejarano
collection DOAJ
container_title Cells
description Microglia are central to neuroimmune responses and undergo dynamic structural and functional changes in models of stress and addiction, and in response to pharmacological treatments. While transcriptomic and proteomic assays provide insights into molecular profiles, morphological analysis remains a valuable proxy for assessing region-specific microglial response. However, morphological features alone often fail to capture the full complexity of microglial function, underscoring the need for standardized methods and complementary approaches. Here, we describe a standardized imaging pipeline for analyzing microglia in the nucleus accumbens core (NAcore), integrating unbiased confocal image acquisition with precise anatomical reference points. We compare two widely used image analysis platforms—IMARIS and CellSelect-3DMorph—highlighting their workflows, output metrics, and utility in quantifying microglial morphology following treatment with adenosine triphosphate (ATP). Both tools detect well described features of microglial dynamics, though they differ in automation level, analysis speed, and output types. Our findings demonstrate that both platforms provide reliable morphological data, with CellSelect-3DMorph offering a rapid, open-access alternative for high-throughput analysis. Additionally, using software-derived parameters in principal component analysis clustering has proven useful for identifying distinct subpopulations of microglia separated by their morphology. This work provides a practical framework for morphological analysis and promotes reproducibility in microglial studies under environmental and pharmacological interventions.
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spelling doaj-art-e4c8d78d35be495fb50aa79cd0c4b9b02025-09-12T12:18:06ZengMDPI AGCells2073-44092025-08-011417135410.3390/cells14171354Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and AnalysisJuan P. Taborda-Bejarano0David B. Nowak1Fernando Chaure2Malika L. Allen3Kathryn A. Blek4Stephen Walterhouse5John R. Mantsch6Constanza Garcia-Keller7Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USAMicroglia are central to neuroimmune responses and undergo dynamic structural and functional changes in models of stress and addiction, and in response to pharmacological treatments. While transcriptomic and proteomic assays provide insights into molecular profiles, morphological analysis remains a valuable proxy for assessing region-specific microglial response. However, morphological features alone often fail to capture the full complexity of microglial function, underscoring the need for standardized methods and complementary approaches. Here, we describe a standardized imaging pipeline for analyzing microglia in the nucleus accumbens core (NAcore), integrating unbiased confocal image acquisition with precise anatomical reference points. We compare two widely used image analysis platforms—IMARIS and CellSelect-3DMorph—highlighting their workflows, output metrics, and utility in quantifying microglial morphology following treatment with adenosine triphosphate (ATP). Both tools detect well described features of microglial dynamics, though they differ in automation level, analysis speed, and output types. Our findings demonstrate that both platforms provide reliable morphological data, with CellSelect-3DMorph offering a rapid, open-access alternative for high-throughput analysis. Additionally, using software-derived parameters in principal component analysis clustering has proven useful for identifying distinct subpopulations of microglia separated by their morphology. This work provides a practical framework for morphological analysis and promotes reproducibility in microglial studies under environmental and pharmacological interventions.https://www.mdpi.com/2073-4409/14/17/1354microgliamorphologyneuroimmuneanalysis
spellingShingle Juan P. Taborda-Bejarano
David B. Nowak
Fernando Chaure
Malika L. Allen
Kathryn A. Blek
Stephen Walterhouse
John R. Mantsch
Constanza Garcia-Keller
Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
microglia
morphology
neuroimmune
analysis
title Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
title_full Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
title_fullStr Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
title_full_unstemmed Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
title_short Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
title_sort characterizing microglial morphology methodological advances in confocal imaging and analysis
topic microglia
morphology
neuroimmune
analysis
url https://www.mdpi.com/2073-4409/14/17/1354
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