Picasso

ThunderSTORM

ThunderSTORM: a comprehensive ImageJ plugin for SMLM data analysis and super-resolution imaging

SMAP

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.

ASI_MTF

Imagej macro to calculate the MTF based on a knife edge measurement

Em-scalebartools

Fiji/ImageJ macros to quickly add a scale bar to an (electron microscopy) image.