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slmsuite combines GPU-accelerated beamforming algorithms with optimized hardware control, automated calibration, and user-friendly scripting to enable high-performance programmable optics with modern spatial light modulators.

• GPU-accelerated iterative phase retrieval algorithms (e.g. Gerchberg-Saxton, weighted GS, or phase-stationary WGS)
• A simple hardware-control interface for working with various SLMs and cameras
• Automated Fourier- to image-space coordinate transformations: choose how much light goes to which camera pixels; slmsuite takes care of the rest!
• Automated wavefront calibration to improve manufacturer-supplied flatness maps or compensate for additional aberrations along the SLM imaging train
• Optimized optical focus/spot arrays using camera feedback, automated statistics, and numerous analysis routines
• Mixed region amplitude freedom, which ignores unused far-field regions in favor of optimized hologram performance in high-interest areas.
• Toolboxes for structured light, imprinting sectioned phase masks, SLM unit conversion, padding and unpadding data, and more
• A fully-featured example library that demonstrates these and other features

Install the stable version of slmsuite from PyPI using:

pip install slmsuite

Install the latest version of slmsuite from GitHub using:

pip install git+https://github.com/slmsuite/slmsuite

Extensive documentation and API reference are available through readthedocs.

Examples can be found embedded in documentation, live through nbviewer, or directly in source.