How To's
>
How to verify gating and metadata using hover over gating

How to verify gating and metadata using hover over gating

Overview

Hover Over Gating lets you instantly verify the gating and metadata behind any datapoint in a box plot. Instead of questioning if a datapoint is real or digging through raw files, just hover to see the underlying gating plot and sample details. This gives you immediate confidence that the datapoints driving your conclusions are supported by valid gating and correct study data.

Use it to:

  • Confirm that populations were gated correctly
  • Check the metadata linked to any datapoint (e.g., subject ID, timepoint, dose group)
  • Gain confidence that p-values and frequencies are supported by valid gating
  • Save time by avoiding manual retrieval of raw cytometry or gating files

Quick Start: How to use hover over gating

Step 1 – Navigate to “Immune Changes”
In the left-hand sidebar, click Immune Changes.

Step 2 – Select Parameters

  • Endpoint – Pick the grouping variable (e.g., treatment response, timepoint, sex, treatment line, subject).
  • Show Cells As % Of – Select the reference population (e.g., T cells, B cells, NK cells, non-granulocytes).
  • Cell Type(s) – Choose the cell populations, functional subsets, or markers to include.

Step 4 – Hover Over a Datapoint
Move your cursor over any datapoint in the plot.

Step 5 – Review the Gating Plot
A pop-up will display the underlying cytometry gating plot along with sample metadata.

Tips for refining your analysis

  • Use Hover Over Gating to double-check datapoints 
  • Compare gating plots for outliers to see if they reflect true biology or technical artifacts
  • Review metadata alongside gating to confirm sample identity and study conditions

Sample of hover over gating results

This example shows the Natural Killer (NK) cell population displayed as a percentage of non-granulocytes. Hovering over a datapoint reveals:

  • The gating plot used to define NK cells
  • Metadata such as percent of parent population, event counts, subject ID, age group, sex, days post-baseline, treatment line, and treatment response

Together, this data provides immediate confirmation of both the gating strategy and the study context for the datapoint.