momomagick is a Python toolbox to register, deconvolve and fuse diSPIM images from the command-line interface. Min Guo originally implemented the registration algorithm used in this toolbox. By using Python, scripts in this toolbox can utilize various registration methods, such as Phase-only correlation (POC) and brute-force matching, employing various optimization algorithms provided by Scipy. Scripts can run on nVidia GPUs through cupy/cuda libraries. This toolbox was developed to process many single-molecule microscopy images in our study.

Command-line example:
mmregister.py -g 0 -e Rigid -t Powell time_lapse_3d.tif

momotrack is also available to track objects manually in three-dimensional time-lapse images without reaching for the mouse frequently.

Manual and code are available at GitHub.
Preprint is found on bioRxiv.
Contact Takushi Miyoshi at [email protected] with questions.