Display Density Plot plots measurements as a two-dimensional density plot.
A density plot displays the relationship between two measurements (that is, features) but instead of showing each data point as a dot, as in a scatter plot, the data points are binned into an equally-spaced grid of points, where the color of each point in the grid represents the tabulated frequency of the measurements within that region of the grid. A density plot is also known as a 2-D histogram; in a conventional histogram the height of a bar indicates how many data points fall in that region. By contrast, in a density plot (2-D histogram), the color of a portion of the plot indicates the number of data points in that region.
The module shows the values generated for the current cycle. However, this module can also be run as a Data Tool, in which case you will first be asked for the output file produced by the analysis run. The resultings plot is created from all the measurements collected during the run.
See also DisplayScatterPlot, DisplayHistogram.
Settings:
Select the object to display on the X-axis
Choose the name of objects identified by some previous
module (such as IdentifyPrimaryObjects or
IdentifySecondaryObjects) whose measurements are to be displayed on the X-axis.
Select the object measurement to plot on the X-axis
Choose the object measurement made by a previous
module to display on the X-axis.
Select the object to display on the Y-axis
Choose the name of objects identified by some previous
module (such as IdentifyPrimaryObjects or
IdentifySecondaryObjects) whose measurements are to be displayed on the Y-axis.
Select the object measurement to plot on the Y-axis
Choose the object measurement made by a previous
module to display on the Y-axis.
Select the grid size
Enter the number of grid regions you want used on each
axis. Increasing the number of grid regions increases the
resolution of the plot.
How should the X-axis be scaled?
The X-axis can be scaled either with a
linear
scale or with a
log (base 10) scaling.
Using a log scaling is useful when one of the
measurements being plotted covers a large range of
values; a log scale can bring out features in the
measurements that would not easily be seen if the
measurement is plotted linearly.
How should the Y-axis be scaled?
The Y-axis can be scaled either with a
linear
scale or with a
log (base 10) scaling.
Using a log scaling is useful when one of the
measurements being plotted covers a large range of
values; a log scale can bring out features in the
measurements that would not easily be seen if the
measurement is plotted linearly.
How should the colorbar be scaled?
The colorbar can be scaled either with a
linear
scale or with a
log (base 10) scaling.
Using a log scaling is useful when one of the
measurements being plotted covers a large range of
values; a log scale can bring out features in the
measurements that would not easily be seen if the
measurement is plotted linearly.
Select the color map
Select the color map for the density plot. See
this page for pictures of the available colormaps.
Enter a title for the plot, if desired
Enter a title for the plot. If you leave this blank,
the title will default
to (cycle N) where N is the current image
cycle being executed.