SMAP
A modular MATLAB-based platform for analyzing super-resolution microscopy (SMLM) data with GPU-accelerated fitting.
Overview
SMAP is a super-resolution microscopy analysis platform designed specifically for single-molecule localization microscopy (SMLM) data. It provides a comprehensive, modular environment for processing, fitting, and visualizing super-resolution images, enabling researchers to extract quantitative insights from complex microscopy datasets.
Key Features
- Modular Plugin Architecture — Extensible framework allowing users to add custom analysis modules and fitters.
- GPU-Accelerated Fitting — Leverages NVIDIA graphics cards with CUDA for faster localization computations, with CPU fallback options.
- Micro-Manager Integration — Seamlessly connects with Micro-Manager for hardware control and acquisition.
- Bio-Formats Support — Imports various microscopy file formats via the Bio-Formats library.
- Stand-Alone Deployment — Offers a compiled version that runs without a MATLAB license for easier distribution.
Philosophy
SMAP emphasizes modularity and extensibility, allowing researchers to tailor the analysis pipeline to their specific experimental needs while maintaining performance through GPU acceleration.
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