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Version: 2026.05-beta

Scatter plot

A scatter plot is well suited for visualizing the potential relationship or correlation between two continuous variables, making it useful for identifying patterns, trends, and outliers in bivariate data. Like the other plot types, it can be downsampled, colored, filtered, or faceted. The results can also be inspected using the Legend bar and the Gallery view. A detailed description of the available interaction and inspection options can be found in the t-SNE Plots Section

In the image below, the relationship between the area and perimiter of the detected cells has been plotted, and has been colored by the intensity of the cells. The outliers that indicate elongated cells generally have lower intensities than the more rounded cells. This could be caused by cells with less intensity more often being erroneously outlined, knowledge which can be used to make the detection APP more accurate.

Using the scatter plot is an effective tool for identifying outliers.
Using the scatter plot is an effective tool for identifying outliers.