Syntalos' multithread-/multiprocess-based design is optimized to reduce latency and improve robustness. The software is #opensource running on the #Linux operating system, allowing insight into every single step of the data acquisition pipeline.
You can download the open-access paper from here: https://www.nature.com/articles/s41467-025-56081-9
It is written with a focus on the users of the software and contains many example experiments, as well as a thorough validation of the performance claims we make about it! 4/x
Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as behaviour-dependent interventions. Here, authors describe a software with an intuitive user interface for flexible data acquisition without dedicated synchronisation hardware.
Last, but absolutely not least, I want to thank everyone who collaborated on the publication and helped get it over the finish line, especially the group of Alex Groh. This was a team effort and I am so proud of the result we achieved!
I also want to thank the great projects we depend on, like @kde, #FFmpeg, Eclipse #Iceoryx, OpenCV, MicroPython and so many more! Kudos to hardware vendors with open libraries for their devices, and especially efforts like #Miniscope and #OpenEphys! You rock! 6/x
The code of #Syntalos is licensed under the LGPL-3.0+ license (libraries), and GPL-3.0+ (main application) you can find it on GitHub: https://github.com/syntalos/syntalos
We are excited for your feedback and the cool research people will realize with the software! 7/7
Matthias Klumpp