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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 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 ...
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).
Cytometry is the measurement of number and characteristics of cells. Variables that can be measured by cytometric methods include cell size , cell count , cell morphology (shape and structure), cell cycle phase, DNA content, and the existence or absence of specific proteins on the cell surface or in the cytoplasm . [ 1 ]
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 cytometers can be used to collect multiparameter cytometry data, but cannot be used to separate or purify cells. Fluorescence-activated cell sorting (FACS) is a technique for sorting out the cells based on the differences that can be detected by light scatter (e.g. cell size) or fluorescence emission (by penetrated DNA, RNA, proteins or ...
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