This can be done in the FlowJo Layout Editor.įluorescence intensity is displayed on the X-axis (divided into 256 bins) and the count of events in each fluorescence channel is displayed on the Y-axis. Normalizing plots to unit area is good for comparison purposes.
It is important to show the frequency or count of the population in a table or on the plot. *Remember that peak height is a function of the CV (spread) and number of events, so histogram displays can be misleading. (Open Options in the Graph Window and uncheck smooth to show unsmoothed). Below are the same data-set shown with and without smoothing. The histograms can be smoothed (by default) or unsmoothed this option has little effect when more than a few thousand events are in the gate.
Histogram Options: Smoothing, Scaling and Color See the sections below for more information about histogram options and gating tools. In contrast to dot plots or other bivariate displays, there are different types of options and gating tools for histograms. 7-AAD) was used during staining, you can quickly evaluate whether you have high or low numbers of live cells (live cells will be largely 7-AAD negative). This can be helpful to quickly analyze whether your samples have normal, uniform, bimodal, or other type of distribution. Histograms display a frequency distribution of the data versus fluorescence intensity or some other parameter (e.g. Use histograms to view frequency distribution of your flow data, one parameter at a time. To view your plot as a histogram, simply click the drop-down menu on the left side of the Graph Window and select “Histogram” from the menu. Two-way ANOVA.FlowJo v10 makes it easy to convert bivariate dot plots to univariate histograms with a click of a button! normalized responseĮquation: Competitive binding - One site - Fit KiĮquation: Receptor binding - Dissociation kinetics response - Variable slopeĮquation: log(inhibitor) vs. Here are a few examples:Įquation: log(agonist) vs. For each of the built-in equations, we provide a detailed description with step-by-step instructions. Prism comes with dozens of built-in equations to use in nonlinear regression (of course you can also add your own equations).
Global nonlinear regression (two dose-response curves)ĭependency and ambiguous fits (dose-response curves) Interpolating from a sigmoidal standard curveĪutomatic outlier elimination (exponential decay) Step-by-Step Examples - Nonlinear Regression If you use Prism 5, make sure you are up to date.ĭownload the Prism 5 Statistics Help Guide (2.3MB pdf)ĭownload the Prism 5 Regression Guide (2.9MB pdf)
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