A collection of tools for painting super-resolution images
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Updated
Aug 20, 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)
This is the original repo of the DECODE implementation (mirrored by github.com/TuragaLab/DECODE).
Ansible Collection for SUSE Multi-Linux Manager (formerly SUSE Manager)
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
Modular pipeline combining DECODE localization, MAGIK tracking, and ROI-based calcium analysis
3D cluster analysis for superresolution microscopy data
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"
extensions and plugin additions for python-microscopy (PYME)
LinkBLiNK Tracker — ML-assisted trajectory reconstruction for SMLM
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