Flow Cytometry Assay
Flow Cytometry Assay - Related Videos
09:11
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
0 Views •
Cited by 5 •
2023
The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry data.
10:43
Flow Cytometry Purification of Mouse Meiotic Cells
0 Views •
Cited by 65 •
2011
An efficient method to obtain highly purified viable meiotic fractions from mouse testis is described, which combines a refined cell dissociation protocol with fluorescent activated cell sorting (FACS). This method takes advantage of differences in the DNA content and nuclear density of discrete meiotic fractions.
10:19
High-throughput Flow Cytometry Cell-based Assay to Detect Antibodies to N-Methyl-D-aspartate Receptor or Dopamine-2 Receptor in Human Serum
0 Views •
Cited by 15 •
2013
Over the recent years, live cell-based assays have been used successfully to detect antibodies against surface and conformational antigens. Here, we describe a method using high-throughput flow cytometry enabling the analysis of large cohorts of patients. Detection of novel antibodies will improve diagnosis and treatment of immune-mediated disorders.
08:17
Flow Cytometry-based Assay for the Monitoring of NK Cell Functions
0 Views •
Cited by 12 •
2016
A simple and reliable method is described here to analyze a set of NK cell functions such as degranulation, cytokine and chemokine production within different NK cell subsets.
10:14
Cell-based Flow Cytometry Assay to Measure Cytotoxic Activity
0 Views •
Cited by 25 •
2013
This protocol describes a sensitive, cell-based cytotoxicity assay. By enumerating the decrease in frequency of live target CD4+ T cells in the presence of an increasing number of effector CD8+ T cells, this assay allows for the direct assessment of cytolytic activity of antigen-specific CD8+ T cells.
FAQs
Light scattering reports physical characteristics of individual cells, while fluorescence reveals signals from labeled antibodies or other probes. Considering both types of measurements helps researchers distinguish cell populations according to their physical properties and marker expression. This combined information is especially useful when a sample contains heterogeneous immune cells or cells that have been altered during infection.
Labeled antibodies can identify specific surface or intracellular markers on individual cells. Surface markers help characterize cell types, whereas intracellular markers provide additional information about cellular state or function. By measuring fluorescence associated with these labels, researchers can quantify marker-positive populations and compare how immune-cell phenotypes change across experimental conditions.
Multiparameter analysis measures several cellular characteristics at the same time, rather than relying on one marker or one physical feature. It can reveal relationships among immune-cell subsets and connect cell identity with viability, activation, or marker expression. In immunology and infection studies, this broader view supports more detailed interpretation of coordinated immune responses.
A basic workflow begins with a cell sample and the selection of antibodies or other probes suited to the markers or conditions being examined. Cells are then exposed to the chosen labels before passing through the instrument’s fluid stream, where laser illumination and detectors record scattering and fluorescence. The resulting measurements support population and marker analysis.
Researchers can apply the assay when they need to characterize immune responses, detect infected cells, or identify cells whose properties have changed during infection. Measurements of physical features, fluorescent markers, viability, and activation help compare cellular populations and phenotypes. This makes the approach useful for examining how infection affects immune-cell composition and state.
The measurements can quantify defined cell populations and show changes in marker expression, viability, or activation. In diagnostics, these patterns can help characterize altered or infected cells. In vaccine studies, they can describe immune responses, while therapeutic development can use them to evaluate cellular changes associated with treatment. Multiparameter results provide context across several immune-cell subsets.