DySTrack (“diss track”) is a simple, modular, python-based, open-source automated feedback microscopy tool for live tracking of moving samples like migratory cells or tissues during acquisition.
DySTrack is useful when imaging moving, growing, or drifting samples where the microscope’s limited field of view becomes an issue. Instead of sitting at the microscope all day and all night, or accepting lower quality (reducing magnification to increase the field of view) or lower time-resolution (using tiled/stitched acquisition to cover a larger field of view), DySTrack can be deployed to have the microscope autonomously follow cells or tissues of interest.
Here’s the GitHub repo: https://github.com/WhoIsJack/DySTrack/
Documentation: https://whoisjack.github.io/DySTrack/
And the preprint: https://www.biorxiv.org/content/10.64898/2025.12.02.691816v1