How to plot survival between two events

This guide shows you how to generate Kaplan-Meier survival curves between two annotated events.

Prerequisite: You have segmented, tracked, measured, and annotated events for a cell population. At least two events must be defined (a start reference and an end event).

Configure the survival plot

Go to the Analyze tab and click Plot survival.
Select the population of interest.
Set the Start Event (Time of Reference) — the event that marks the beginning of the observation window (e.g., t_firstdetection).
Set the End Event (Time of Interest) — the event whose occurrence you want to measure (e.g., t_death).
(Optional) Enter a Query to filter the population (e.g., TRACK_ID > 10 or treatment == "drug_A").
Click Submit.

For a full description of all fields, see the Survival Analysis Settings Reference.

Interpret the output

A window appears with the Kaplan-Meier survival curves.

Single position: A single survival curve for the selected position.
Multiple positions: Individual curves per position (with 95% confidence intervals) and a pooled curve for the well.
Multiple wells: Pooled curves per well for comparing conditions. Individual positions are shown without confidence intervals.

You can add or remove positions/wells from the plot interactively.