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Use of flow cytometry to measure copy number variation of a specific DNA sequence . Flow cytometry uses the light properties scattered from cells or particles for identification or quantitative measurement of physical properties. Labels, dyes, and stains can be used for multi-parametric analysis (understand more properties about a cell).
Firstly, CytoBank, which is a complete web-based flow cytometry data storage and analysis platform, has been made available to the public in a limited form. [78] Using the CytoBank code base, FlowRepository was developed in 2012 with the support of ISAC to be a public repository of flow cytometry data. [79]
Flow cytometry data is typically saved for analysis in the form of an array, with fluorescence and scatter channels represented in columns, and individual "events" (most of which are cells) forming the rows. The number of events acquired from each sample usually ranges between the low thousands and the low millions.
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).
FlowJo is a software package for analyzing flow cytometry data. Files produced by modern flow cytometers are written in the Flow Cytometry Standard [ 1 ] format with an .fcs file extension. FlowJo will import and analyze cytometry data regardless of which flow cytometer is used to collect the data.
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 ...
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