How to configure and run tracking ---------------------------------- This guide shows you how to set up a tracker and run it on your segmented data. Reference keys: :term:`tracking`, :term:`cell population` **Prerequisite:** You must have segmented masks for the population of interest. Configure the tracker ~~~~~~~~~~~~~~~~~~~~~ #. Navigate to the **Tracking** module in the main processing panel. #. Click the **Settings** :icon:`cog-outline` button to open the configuration window. #. **Select a Tracker**: * Choose :term:`bTrack` (default) for complex behaviors (division, apoptosis) and crowded scenes. It uses a Bayesian approach with motion prediction. * Choose :term:`trackpy` for simple particle tracking (Brownian motion). #. **Add Features** (Optional): Click **Add features** to calculate morphological (e.g., area) or intensity features during tracking. Enable **:term:`Haralick Texture Features`** if you need texture analysis (computationally expensive). #. **Configure Post-Processing** (Optional): Enable options to filter short tracks, fill gaps, or extrapolate positions. #. Click **Save** to apply your settings. For a detailed explanation of every parameter, see the :ref:`Tracking Settings Reference `. Run tracking ~~~~~~~~~~~~ #. In the **Tracking** module control panel, check the **TRACK** box. #. Ensure you have selected the wells/positions you wish to process. #. Click **Submit**. Celldetective will load the segmentation masks, run the selected tracker, compute the requested features, and save the results as ``trajectories_targets.csv`` (or ``_effectors``) in the ``output/tables`` folder of each position. Visualize tracks ~~~~~~~~~~~~~~~~ #. Select a single position in the file list. #. Click the **Eye** button in the Tracking module. #. Napari will open with the following layers: * ``image``: Raw microscopy data. * ``segmentation``: Labeled cell masks (color-coded by ID). * ``tracks``: Trajectory lines connecting cell positions over time. * ``points``: Centroids of detected cells.