The select graph shows the frame number and time the frame was acquired. In this particular case, the sounding consisted of over 40,000 images. The green trace is sounding relative humidity vs time (frame), red trace is height of the instrument, and the blue trace is the sounding temperature. The cyan shaded region denotes the sample to be analyzed, and can be set by dragging its margins or entering frame values in the text boxes. The dark vertical line denotes the frame currently shown in the image display, and can be advanced by single frame or multiple-frame values.
Right-clicking on the graph allows the user to change linestyles, colors, and widths.
The histogram shows the effective particle radius, eccentricity of the fitted ellipse, irregularity (a measure of particle margin length vs ellipse circumference), or particle tilt. The x-axis can be scaled linearly or logarithmically, with user-set bin sizes and range. Right-clicking the graph provides a context menu allowing the user to output a summary of the experiment and histogram, an EPS version of the graph, or a table of the values for every particle that can then be imported into spreadsheets or graphing programs.
For any image, the particle detections can be shown as white pixels wherever the algorithm determined a particle was present. A red ellipse shows the algorithm fit to the particle. Hovering over any particle causes the fitted characteristics to be displayed in the status bar. Right-clicking a particle allows the user to see the source imagery, as shown below.
For example, a portion of the raw image can be shown, centered on the particle. The drop in this example is illuminated by four lights, two above and two below the drop, giving an appearance of saucers of light contained in the particle. The algorithm discriminates against the many image anomalies that are scattered in the image; in this case, these are frozen drops and wettings of the backdrop in the imager.
Alternatively, the user can see an image pair consisting of the image immediately prior to the particle identification, and the one containing the particle. This allows the user to evaluate the performance of the detection algorithm, especially concerning false detections and missed detections.