- Pleased to say that Jonas Hartmann (bs-less) and I have finally released DySTrack (“diss track”) - Dynamic Sample Tracking. It’s a Python-based, modular tool that brings smart microscopy to everyday imaging on commercial systems. Preprint: www.biorxiv.org/content/10.6... [1/6]
- The core idea is simple: DySTrack lets you keep using Zeiss/Nikon software for acquisition while running any Python image analysis you want in the loop. It watches prescans -> runs your analysis -> updates stage coords automatically. [2/6]
- The result: Your microscope can follow moving or drifting samples on its own with no vendor lock-in, no rewriting control software and no massive frameworks to learn. We provide integration for Zeiss LSM880, LSM980 and Nikon scopes that have JOBS. [3/6]
- We include example pipelines for: 🐟 migrating zebrafish pLLP 🐟 zebrafish neuromast drift correction 🐣 chick Hensen’s node (pictured) All easy to adapt to your own system. [4/6]
- If you’ve wanted a low-barrier entry into smart microscopy then this is it. Open-source, documented, and ready for feedback & contributions. Check out the GitHub repo here: github.com/WhoIsJack/Dy... [5/6]
- Big thanks to Nick S. from @zeiss-microscopy.bsky.social and Rob T. from @healthcare.nikon.com for help with integration development. Also the UCL facility for microscopy support. And of course our co-authors Octavian, @mongeralab.bsky.social, @mayorlab.bsky.social and @miewong.bsky.social. [6/6]Dec 8, 2025 14:03