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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.
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 (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).
The fluorochrome-based TUNEL assay applicable for flow cytometry, combining the detection of DNA strand breaks with respect to the cell cycle-phase position, was originally developed by Gorczyca et al. [4] Concurrently, the avidin-peroxidase labeling assay applicable for light absorption microscope was described by Gavrieli et al. [5] Since 1992 the TUNEL has become one of the main methods for ...
ADT data analysis [2] [7] [10] [11] (based on the developer's guidelines): CITE-seq-Count is a Python package from CITE-Seq developers that can be used to obtain raw counts. Seurat package from Satija lab further allows combining of the protein and RNA counts and performing clustering on both measurements, as well as doing differential ...
Flow cytometry gating into main categories of blood cells by side scatter and CD45. A gate in cytometry is a set of value limits (boundaries) that serve to isolate a specific group of cytometric events from a large set. Gates can be defined by discrimination analysis, or can simply be drawn around a given set of data points on a printout and ...
Databases are essential for bioinformatics research and applications. Databases exist for many different information types, including DNA and protein sequences, molecular structures, phenotypes and biodiversity. Databases can contain both empirical data (obtained directly from experiments) and predicted data (obtained from analysis of existing ...