Related Experiment Video
Updated: May 24, 2025

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
Published on: June 5, 2018
Streamlined Quantification of Microglial Morphology in Mouse Brains Using 3D Immunofluorescence Analysis
Maria Helena de Donato1, Armin Kouchaeknejad1, Andreu de Donato2
1Neuroscience Institute, Autonomous University of Barcelona, Bellaterra, Spain.
Abstract:
Microglial cells are crucial patrolling immune cells in the brain and pivotal contributors to neuroinflammation during pathogenic or degenerative stress. Microglia exhibit a heterogeneous "dendrite-like" dense morphology that is subject to change depending on inflammatory status. Understanding the association between microglial morphology, reactivity, and neuropathology is key to informing treatment design in diverse neurodegenerative conditions from inherited encephalopathies to traumatic brain injuries. However, existing protocols for microglial morphology analyses lack standardization and are too complex and time-consuming for widescale adoption. Here, we describe a customized pipeline to quantitatively assess intricate microglial architecture in three dimensions under various conditions. This user-friendly workflow, comprising standard immunofluorescence staining, built-in functions of standard microscopy image analysis software, and custom Python scripts for data analysis, allows the measurement of important morphological parameters such as soma and dendrite volumes and branching levels for users of all skill levels. Overall, this protocol aims to simplify the quantification of the continuum of microglial pathogenic morphologies in biological and pharmacological studies, toward standardization of microglial morphometrics and improved inter-study comparability. Key features • Comparison of 3D microglial architecture between physiological and pathological conditions. • Quantitative assessment of critical microglial morphological features, including soma volume, dendrite volume, branch level, and filament length. • Simplified, semi-automated data export and analysis through simple Python scripts. Graphical overview.
More Related Videos
10:40Immunofluorescence Staining Using IBA1 and TMEM119 for Microglial Density, Morphology and Peripheral Myeloid Cell Infiltration Analysis in Mouse Brain
Published on: October 27, 2019
13:28Three-dimensional Confocal Analysis of Microglia/macrophage Markers of Polarization in Experimental Brain Injury
Published on: September 4, 2013