Exploring temporal traces

Exploring temporal traces

Compare the time course of a selected pixel and visible ROIs without first exporting data. Open Y-X-T data, then create or load at least one ROI.

  1. Click a pixel to update the black temporal profile.
  2. Make one or more ROIs visible in the ROI table. A colored mean trace appears for each visible ROI.
  3. Move the frame slider and confirm that the vertical time marker and current-frame ROI statistics update.
  4. Switch to Event mode to compare a condition, repetition, or average when event information exists.
  5. Choose ROIs > Export ROI data to export spatial measurements, continuous time vectors, or event-aligned time vectors.

DataViewer with an ROI table row and matching temporal trace
The visible red ROI appears in the table and contributes the matching red trace to the temporal plot.

What is saved?
Trace calculation is read-only and may use a disk cache. CSV export is an option in the ROIs tab under Export ROI data; see Save, load, import, and export. The export does not change the ROI file or imaging data.

For calculations intended for later statistics, run getDataFromROI in a pipeline. It accepts .dat or .umt data with Y-X axes and returns a .umt file with the data organized by ROI. Event response features require the ordered workflow split_data_by_event (which writes an event-split .dat file) → getDataFromROI with spatial aggregation enabled → calculateResponseFeatures (which takes the .umt file produced by getDataFromROI). To load and use these .umt files in MATLAB, see Organization of .umt files.


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