This information can be displayed within FlowJo ™ by first binning the recorded data in a two dimensional histogram and graphing those bins on an x-y plane (cartesian coordinates). The axial parameters are usually some combination of light scatter and fluorescence (1). Two common graph types for flow cytometry data are dot and contour plots.

Contour diagrams are an alternative way to demonstrate the same data as density plot does. Joined lines represent similar numbers of cells. The graph takes on the appearance of a geographical survey map, which, in principle, closely resembles the density plot.

FlowJo draws only one type of contour plot, using equal probability contouring. This algorithm generates, in general, graphs which are most accurately interpreted by our brains, in terms of relative frequencies of subpopulations. All contouring algorithms have advantages and disadvantages, but probability contouring is probably the most informative. Combined with the display of outliers, this ...

At this point, if you are not very experienced in flow cytometry data analysis, or if you are doing the experiment for the first time, then you will have to play around with how to set your gates, what kind of plot to use and decide at the end what is the best way to present your data. There are several kinds of dot plots.

Oct 8, 2024 · The visualizations produced by t-SNE using flow cytometry data are exceptional, and t-SNE excels at maximizing the resolution between populations which don’t stain brightly or discretely. How can I use a t-SNE map to analyze flow cytometry data?

The answer lies in the way the FACS instrument collects data and routinely corrects (compensates for) the data for spec- tral overlap before visualization in histograms, dot plots and contour maps.

Feb 6, 2024 · Contour plots FACS data can also be presented as contour plots. Contour lines, which you may have seen on elevation maps, are used to show frequency of events, instead of relying on clustered dots. In a contour plot, each line contains the same number of events.

Feb 12, 2024 · How flow cytometry data are displayed can have an impact on your ability to interpret them. In the following “Scientist to Scientist Educational Series” video on data display, Alan Stall, PhD, Senior Principal Scientist, BD Biosciences, explains how to select between different display and scaling options to optimize flow cytometry data analysis. Data Display Options Dr. Stall begins the ...

Flow cytometry data analysis is fundamentally based upon the principle of gating. Gates and regions are placed around populations of cells with common characteristics, usually forward scatter, side scatter and marker expression, to investigate and to …

Identi-fication of such heterogeneity can be only achieved through polychromatic flow cytometry that allows the analysis of multiple cell membrane and intra-cellular molecules at the level of single cell lineage. Flow cytometric analyses thus constitute an impor-tant step towards an understanding of the complex immune system.