Using the Results Table
The Results Table gives you a structured summary of the selected staining and model across animals and brain regions.
It is designed for comparing summarized measurements, not for inspecting individual cells.
What each row represents
Each row represents one animal x brain region combination for the current staining and model.
That means the values already summarize the available data for that animal in that region.
Depending on your study setup, the table can also include metadata such as:
- animal
- group
- condition
- sex
Which columns matter most
The most important columns usually depend on the biological question.
Commonly useful measures are:
- Total Cells when you care about overall cellular load in the selected area
- ON Cells when you care about positively classified cells specifically
- % ON when you want a proportion rather than a raw count
- Cells/mm2 when density matters more than absolute counts
- ON Cells/mm2 when you want staining-positive density
Area-based measures are especially useful when the analyzed region coverage differs across animals or slices.
Filter before you compare
The table becomes much more informative when you narrow it to the subset that matches your immediate question.
You can filter by:
- brain region
- animal
- group
- condition
- sex
In practice, it is often better to answer one focused question at a time, for example:
- one region across all animals
- one group across a selected region set
- one sex within one condition
Use grouping to change the comparison level
Grouping helps you reorganize the same data depending on what you want to see.
For example, grouping by animal makes it easier to compare regions within each animal.
Grouping by brain region makes it easier to compare animals within one region.
This is useful when you are moving between animal-centered and region-centered questions.
Hide columns that are not relevant
Not every project needs every column all the time.
If one measurement is not relevant for the current analysis, hide it and keep the table focused on the quantities you actually want to interpret.
A smaller table is usually easier to read correctly.
Exporting your data
The Results Table can be exported for downstream analysis and figure preparation.
Available formats include:
- CSV for general analysis workflows
- Excel for spreadsheet-based review
- GraphPad Prism for plotting and statistics outside Neuro QP
Before exporting, apply the same filters you want to use in your downstream workflow.
That makes it easier to keep exported files aligned with the exact comparison you reviewed in the app.
A good habit
If a value in the table looks unexpectedly high, low, or inconsistent, do not interpret it in isolation.
Go back to the Slice Viewer and inspect the relevant slices.
The strongest workflow is always to combine the summarized table with visual review of the underlying data.