This fork runs KymoButler locally through Wolfram Engine instead of relying on the discontinued cloud API. It provides:
- Local AI analysis (CPU/GPU) via
KymoButler.wl - Batch processing of folders (including subfolders)
- Overlay images + ROI tracks + postprocessing outputs
- Improve Kymo filter (wavelet-like enhancement) built in
Original KymoButler is a Wolfram-based kymograph analysis tool by Max Jakobs et al.: https://github.com/MaxJakobs/KymoButler
Original paper: https://elifesciences.org/articles/42288
For installation, see INSTALLATION.md. For usage and outputs, see USER_MANUAL.md.
This fork incorporates the Improve Kymo functionality from the KymoToolBox ImageJ plugin by Fabrice P. Cordelieres (GPL-3.0).
KymoToolBox reference: Zala D. et al., "Vesicular glycolysis provides on-board energy for fast axonal transport", Cell 152(3):479-491 (2013).