Display Histogram plots a histogram of the desired measurement.
A histogram is a plot of tabulated data frequencies (each of which is shown as a bar) created by binning measurement data for a set of objects. A two-dimensional histogram can be created using the
DisplayDensityPlot module.
The module shows the values generated for the current cycle. However, this module can also be run as a Data Tool, in which you will first be asked for the output file produced by the analysis run. The resultant plot is created from all the measurements collected during the run.
See also DisplayDensityPlot, DisplayScatterPlot.
Settings:
Select the object whose measurements will be displayed
Choose the name of objects identified by some previous
module (such as IdentifyPrimaryObjects or
IdentifySecondaryObjects) whose measurements are to be displayed.
Select the object measurement to plot
Choose the object measurement made by a previous
module to plot.
Number of bins
Enter the number of equally-spaced bins that you want
used on the X-axis.
Transform the data prior to plotting along the X-axis?
The measurement data can be scaled with either a
linear scale (
No) or a
log (base 10)
scaling.
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 either a
linear
scale or a
log (base 10) scaling.
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.
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.
Specify min/max bounds for the X-axis?
Select Yes to specify minimum and maximum values for the
plot on the X-axis. This is helpful if an outlier bin skews the
plot such that the bins of interest are no longer visible.