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Flow cytometry (FC) is a technique used to detect and measure the physical and chemical characteristics of a population of cells or particles. [1] [2] [3] [4]In this process, a sample containing cells or particles is suspended in a fluid and injected into the flow cytometer instrument.
Flow cytometry is another method used to sort sperm and adaptations of this technique opens new opportunities in sperm sorting. However, because flow cytometry-based sperm sorting often uses fluorescent dyes that often stain DNA, the safety of this technique in human reproductive medicine is a matter of scientific discussion.
Flow cytometry is by far the most sophisticated and expensive method for cell counting. In a flow cytometer the cells flow in a narrow stream in front of a laser beam. The beam hits them one by one, and a light detector picks up the light that is reflected from the cells.
Flow cytometry cell-sorting yields very high specificity according to one or several surface markers, but one limitation is constituted by the number of cells that can be processed during a work day. For this reason pre-enrichment of the population of interest by immunomagnetic cell sorting is often considered, especially when the target cells ...
Cell cycle analysis by DNA content measurement is a method that most frequently employs flow cytometry to distinguish cells in different phases of the cell cycle.Before analysis, the cells are usually permeabilised and treated with a fluorescent dye that stains DNA quantitatively, such as propidium iodide (PI) or 4,6-diamidino-2-phenylindole (DAPI).
Pig-a gene mutation assay is a flow cytometry-based method for detecting mammalian cells that have inactivating mutations in the endogenous X-linked reporter gene called phosphatidyl inositolglycan class A gene (PIG-A in humans and non-human primates, Pig-a in other mammalian species).
Flow cytometry is a method in cell biology that employs the deflection of laser light a well as the excitation of fluorescent dyes to analyse various properties of a high number cells in a relatively short time. This category lists methods and tools used in flow cytometry.
Flow cytometry bioinformatics requires extensive use of and contributes to the development of techniques from computational statistics and machine learning. Flow cytometry and related methods allow the quantification of multiple independent biomarkers on large numbers of single cells. The rapid growth in the multidimensionality and throughput ...