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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.
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).
This file contains the total ion counts for each channel for every cell arranged in a matrix and is the same file generated during flow cytometry. [5] Manual gating of this data can be performed as is done for flow cytometry and most of the tools available for flow cytometry analysis have been ported to CyTOF (See flow cytometry bioinformatics ...
Viewing an entire experiment in a Workspace permits organizing and managing complex cytometry experiments and produces detailed graphical reports. FlowJo's ability to automate repetitive operations facilitates the production of statistics tables and graphical reports when the experiment involves many samples, parameters and/or operations.
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.
A wide (hundreds of micrometers in diameter) tube made of glass or plastic is used, through which a "wall" of fluid called the sheath flow is pumped. The sample is injected into the middle of the sheath flow. If the two fluids differ enough in their velocity or density, they do not mix: they form a two-layer stable flow. [2]
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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 ...
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