A collection of tools for painting super-resolution images
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Updated
Aug 9, 2026 - Python
A collection of tools for painting super-resolution images
This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)
Adaptive Optics plugin for MicroManager
Single Molecule Imaging Simulator with Advanced Fluorophore Photophysics
An ImageJ plugin that uses the Projected-line FWHM resolution method to determine the image resolution of a final image.
Superresolution visualization of 3D protein localization data from a range of microscopes
This is the original repo of the DECODE implementation (mirrored by github.com/TuragaLab/DECODE).
Towards enhanced particle averaging for single-molecule localization microscopy using geometric deep learning
Localization Analyzer for Nanoscale Distributions (LAND) - 2D and 3D Analysis of SMLM Data
Software to process single-molecule and diffraction-limited polarisation camera image data.
ImageJ 1.x implementation of a 3D real-time single molecule localization microscopy algorithm based on lookup tables
Ansible Collection for SUSE Multi-Linux Manager (formerly SUSE Manager)
Object / density detection in astigmatic superresolution dSTORM microscopy
Uses Catmull Rom Splines optimisation to align multiple channels in Single Molecule Localization Microscopy (or Super Resolution Microscopy). Done as part of the Thesis of Mels Habold at the Quantative Nanoscopy group of Delft University of Technology in 2022.
FLIKA fork extended for SMLM, single-particle tracking, and calcium imaging
A Python implementation of thunderSTORM for Single Molecule Localization Microscopy (SMLM) data analysis
Single-Molecule Localization Microscopy scripts used in my report "Computational Methods in Single-Molecule Localization Microscopy"
3D cluster analysis for superresolution microscopy data
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