Spaceballs workflow >

. View the sampling results

Procedure

View the results using one of the following methods:

  • Click a set in the Probe Runs list to select it and click the View Results button. The Sampling results window is displayed.
  • Click Display Probe Run List (use after running more than one probe if you want results from multiple probe runs). The Previous Stereological Runs window is displayed.
    1. From the list, highlight the probe runs of interest.
    2. Click View Results. The Sampling results window is displayed.

Results

Stereo Investigator Whole Slide Edition provides four estimates. The results vary based on the measurement used for the mounted (or post-processing) section thickness.

Report the estimate that best reflects the histological properties of the region of interest.

All estimates calculated from measurements obtained while counting (i.e., all but Estimated population using user-defined section thickness) should return similar results if the measurements were taken correctly.

Calculated using a single value entered manually for the post-processed or “mounted” section thickness.

Because this estimate is generated with only one value for the section thickness, local variations in section thickness are not accounted for. As a result, this estimate should be considered the least accurate of the 4 available estimates. But if there is no section thickness variation (e.g., embedding protocols such as plastic embedding), reporting the Estimated population using user-defined section thickness is acceptable.

This value is typically entered manually, or calculated, in Step 5 of the workflow under the Manually enter the average mounted thickness method.

  • If you don't enter a value for Manually enter the average mounted thickness, the estimate equals zero.
  • To change the thickness value after the counting procedure, click the Edit Mounted Thickness button in the Sampling results window.

Calculated using the section thickness measurements recorded while counting.

These measurements are recorded in Step 5 of the workflow, after selecting Measure the mounted thickness while counting method. The number of measurements used to calculate this estimate is based on the interval you entered (e.g., if you entered 2, you are prompted to set the top and bottom of the section at every other counting site).

Because this estimate is generated from the mean of all obtained section thickness measurements, it is considered to be the most accurate estimate of the region of interest when measurements are not performed at every site.

You may also choose to use this value for low frequency events with many counting sites containing zero objects.

If you didn't measure the thickness of sections while counting, this estimate is not calculated.

This estimate is a variation of Estimated population using mean section thickness.

Calculated using only the section thickness measurements made at counting sites that contain marked objects (in other words, section thickness measurements from counting sites with NO counted objects aren't included in the calculated average).

These measurements are recorded in Step 5 of the workflow, after selecting Measure the mounted thickness while counting method.

In many cases, this estimate will be nearly identical to Estimated population using mean section thickness.

You may choose to use this value when :

  • You chose to ignore measuring the section thickness where there were no objects.
  • You made errors in section thickness measurement that were not corrected when there were no objects to be marked.

If you didn't measure the thickness of sections while counting, this estimate is not calculated.

Report this estimate when thickness was measured at every sampling site and when the section thickness varies dramatically across the sections that include the region of interest.

Calculated using only the section thickness measurements from counting sites that contain markers. These measured thickness values are then weighted by the number of objects associated with them to produce a weighted average.