Immune Cell Enumeration
Immune Cell Enumeration - Related Videos
03:03
Identification and Enumeration of Immune Cells in Bronchoalveolar Lavage Fluid by Flow Cytometry
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2025
This video demonstrates the use of flow cytometry to identify and count various immune cells in bronchoalveolar lavage fluid. Initially, single immune cells are identified using a viability dye, followed by differential staining of surface marker proteins, enabling the precise enumeration of each cell type.
10:32
Enumeration of Neural Stem Cells Using Clonal Assays
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Cited by 5 •
2016
Neural stem cells (NSCs) refer to cells which can self-renew and differentiate into the three neural lineages. Here, we describe a protocol to determine NSC frequency in a given cell population using neurosphere formation and differentiation under clonal conditions.
09:29
Algae Enumeration via Culturable Methodology
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2023
Source: Laboratories of Dr. Ian Pepper and Dr. Charles Gerba - The University of Arizona Demonstrating Author: Bradley Schmitz Algae are a highly heterogeneous group of microorganisms that have one common trait, namely the possession of photosynthetic pigments. In the environment, algae can cause problems for swimming pool owners by growing in the water. Algae can also cause problems in surface waters, such as lakes and reservoirs, due to algal blooms that release toxins. More recently, algae...
11:22
The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
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2012
A CD4 enumeration method, the α-test, is described which uses whole saliva to provide rapid and accurate CD4 counts. The α-test costs pennies and eliminates the need for technical training, costly reagents such as monoclonal antibodies, instrumentation, refrigeration, transport of samples, as well as collection and handling of blood.
10:53
Serial Dilutions and Plating: Microbial Enumeration
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2023
Source: Jonathan F. Blaize1, Elizabeth Suter1, and Christopher P. Corbo1 1 Department of Biological Sciences, Wagner College, 1 Campus Road, Staten Island NY, 10301 Quantitative assessment of prokaryotes can be onerous given their abundance, propensity for exponential proliferation, species diversity within a population, and specific physiological needs. Compounding this challenge, is the four-phase nature in which bacteria replicate (lag, log, stationary and death). The ability to accurately...
FAQs
These measurements describe different aspects of the same sample. Cell number indicates how many cells are present, proportion shows the representation of one population relative to others, and concentration relates cells to a defined sample amount or volume. Considering these measures together helps distinguish an overall change in cellular abundance from a shift in the composition of immune populations.
Light-scattering signals help separate cells according to their physical signal patterns, while fluorescent antibodies identify lineage or activation markers. The combined signals allow analysts to distinguish immune populations and examine their marker expression. Defined analysis gates then specify which events belong to each population, making the resulting enumeration dependent on consistent signal interpretation and gate placement.
Counting beads or a known sample volume provides a reference for converting detected events into quantitative measurements. Instead of reporting only the relative frequency of a gated population, the analysis can relate that population to a defined counting standard or volume. This supports more comparable measurements across samples, experiments, and studies of immune changes.
A typical workflow labels cells with fluorescent antibodies directed against lineage and activation markers, acquires signals from the prepared sample, and separates events using light-scattering and fluorescence characteristics. Analysts then apply defined gates to identify the populations of interest and use counting beads or a known sample volume when quantitative cell measurements are required.
In infection research, quantitative measurements can show how immune populations change during disease and help characterize the immune response. Comparing enumerated populations across health, infection, or treatment conditions provides a numerical basis for tracking these changes. The approach can therefore support investigations of immune status as well as assessments of treatment effects.
Standardized enumeration creates quantitative measurements that can be compared across experiments and biological conditions. In diagnostics, it can contribute to characterization of immune status; in vaccine studies, it can help track immune responses; and in treatment evaluation, it can reveal changes in measured populations. Consistent procedures and analysis gates strengthen the value of these comparisons.