Dot plots provide the highest resolution, allowing you to visualize those 5 cells out of a million. The advantage to viewing the monochromatic dot plot is resolution. Density information is obscured as more events are displayed. Each dot represents a single event and is presented in the same color. The lowly monochromatic dot plot hails from the time of the development of the first cytometer (circa 1965). Using the colors of the rainbow as a heat map, high numbers of events are orange-red, and lower counts are shaded in green and blue. Pseudocolor plots confer density information similar to other density plots mentioned above. The Graph Window enables two different dot plot options pseudocolor (default) and monochromatic dot plot. The events are easily seen in density plots, but are much harder to visualize on the dot plots (events in red circles/rectangle). Note the events falling on the upper right and left edges in the figure below.
![make graphs uniform flowjo 10 make graphs uniform flowjo 10](https://getintopc.com/wp-content/uploads/2021/12/FlowJo-2022-Free-Download-GetintoPC.com_-768x399.jpg)
Small dots can be difficult to see, and darker colors can be obscured by the black lines of the chart edges. The advantages of density type plots stem primarily from the ability to visualize events that are at or near the chart edges. For more information about pseudocolor plots and their options, click here. Note: Smoothed pseudocolor plots are simply pseudocolor dot plots that have the “smooth” checkbox marked in the options menu. Using the visible spectrum as an inverted rubric, high density is indicated towards the red, whereas lower densities occupy the green and blue end of the spectrum. As opposed to density, smoothed psuedocolor plots provide a heat map of bivariate data. Smoothed pseudocolor plots chart density of events by using a spectrum of color. Zebra plots are a hybrid plot, combining properties from both contour and density plots. The darker the shading, the more concentrated the events. *The actual percentage depends on the contour line options (5% is the default).ĭensity plots utilize monochromatic shading, rather than contour lines, to confer information about where the most populous events appear. The next line represents the 10/90% boundary, the following line 15/85% and so on. The largest and most inclusive line represents the boundary between the lowest 5% of events and the remaining 95%*.
![make graphs uniform flowjo 10 make graphs uniform flowjo 10](https://static.bio-rad-antibodies.com/2016/fc-guide/chapter-3/fig-15-single-parameter-histograms.jpg)
The specifics of each type are described briefly below.Ĭontour plots use lines to denote the density boundaries. The figure below compares the same set of data using 6 different bivariate plot types.ĭensity plots provide information about the quantity and fluorescence intensity of events by presenting a display similar to a topographical map.
![make graphs uniform flowjo 10 make graphs uniform flowjo 10](http://www2.southeastern.edu/Academics/Faculty/dgurney/Math241/StatTopics/HistGen_files/image018.gif)
By changing the type of plot in the options menu of the Graph Window, and further refining the display options, you can explore the wide variety of data visualization FlowJo offers.
#MAKE GRAPHS UNIFORM FLOWJO 10 HOW TO#
For more information on each plot type and how to modify them, click on the associated link within the following sections, or scroll to the bottom of this page to find direct links to the respective pages.įlowJo displays data in the Graph Window as a bivariate pseudocolor plot (default). The differences between each of the displays and their associated advantages will be discussed below. Univariate displays can be viewed as histograms or cumulative distribution function (CDF) plots. The bivariate options can be separated into two broad categories density plots and dot plots. You worked hard for your data, they deserve to look great! The multitude of plot types in FlowJo’s Graph Window provide ample means for showing off your data in their best form.įlowJo provides several different choices for both bivariate and univariate data displays.