Macrophage Quantification
Macrophage Quantification - Related Videos
09:25
Quantification of Cytosolic vs. Vacuolar Salmonella in Primary Macrophages by Differential Permeabilization
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Cited by 19 •
2015
We describe the quantification of cytosolic and vacuolar Salmonella typhimurium in bone-marrow derived macrophages using differential digitonin permeabilization.
07:05
Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation
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Cited by 2 •
2017
Target-specific probes represent an innovative tool for analyzing molecular mechanisms, such as protein expression in various types of disease (e.g., inflammation, infection, and tumorigenesis). In this study, we describe a quantitative three-dimensional tomographic assessment of intestinal macrophage infiltration in a murine model of colitis using F4/80-specific fluorescence-mediated tomography.
10:07
Investigation of Macrophage Polarization Using Bone Marrow Derived Macrophages
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Cited by 326 •
2013
The article describes a readily easy adaptive in vitro model to investigate macrophage polarization. In the presence of GM-CSF/M-CSF, hematopoietic stem/progenitor cells from the bone marrow are directed into monocytic differentiation, followed by M1 or M2 stimulation. The activation status can be tracked by changes in cell surface antigens, gene expression and cell signaling pathways.
07:05
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
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2022
We present a method, which utilizes a generalizable area-based image analysis approach to identify cell counts. Analysis of different cell populations exploited the significant cell height and structure differences between distinct cell types within an adaptive algorithm.
06:46
Culture of Macrophage Colony-stimulating Factor Differentiated Human Monocyte-derived Macrophages
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Cited by 58 •
2016
A protocol is presented for cell culture of macrophage colony-stimulating factor (M-CSF) differentiated human monocyte-derived macrophages. The protocol utilizes cryopreservation of monocytes coupled with their bulk differentiation into macrophages. Then harvested macrophages can then be seeded into culture wells at required cell densities for carrying out experiments.
FAQs
Marker selection and gating criteria help separate macrophages from other myeloid populations that may share related features. Researchers therefore interpret a measured macrophage population in relation to the markers used and the rules defining inclusion. Consistent criteria reduce ambiguity between experiments, making changes in immune-cell abundance or distribution more suitable for comparison during infection and inflammation.
Macrophage quantification can address three different dimensions: how many cells are present, where they are distributed, and how their activity changes. These dimensions answer different biological questions. Abundance may indicate population expansion or loss, distribution can reflect tissue infiltration, and activity measurements can help connect macrophage responses with infection, inflammation, or treatment effects.
The methods provide complementary information rather than identical readouts. Immunostaining with image analysis can evaluate macrophage distribution within a biological sample, whereas flow cytometry supports identification and separation of cell populations through marker-based gating. Cell counting provides a direct abundance measure. The appropriate choice depends on whether location, population distinction, or numerical abundance is most important.
A typical workflow identifies macrophages with lineage-associated markers, applies immunostaining to the biological sample, and analyzes the resulting image to measure cell abundance or distribution. The analysis criteria should be defined consistently across samples, including how macrophage-positive signals are recognized and counted. This approach is especially useful when spatial changes, such as tissue infiltration, are relevant.
Flow cytometry-based measurement relies on lineage-associated markers to identify macrophages among other myeloid populations. Researchers then apply predefined gating criteria to distinguish the relevant population and quantify it within the sample. Careful, consistent gating is important because differences in population boundaries can alter the reported result and complicate comparisons between infection, inflammation, or treatment conditions.
The measurement is useful when researchers need to track macrophage changes during infection, inflammation, disease progression, or treatment. Comparing standardized results across experimental conditions can reveal altered tissue infiltration, pathogen-associated responses, and treatment effects. These data also help relate macrophage behavior to host defense and therapeutic outcomes, providing a measurable link between immune responses and disease-related changes.