Software package and datasets for "Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees"
by Katharina Proksch, Frank Werner, Jan Keller-Findeisen, Haisen Ta and Axel Munk
University Würzburg, University Twente, University Göttingen, University Hamburg, Max Planck Institute for multidisciplinary Sciences, DFG Cluster of Excellence 2067 “Multiscale Bioimaging: From Molecular Machines to Networksof Excitable Cells”
see also the accompanying publication at https://doi.org/10.1093/jmicro/dfad053
This software package contains examplary data, pre-computed MISCAT tests and analysis scripts in Matlab (https://www.mathworks.com/products/matlab.html). It has been successfully tested with Matlab R2020b.
The source code of the software is licensed under the MIT license (see file LICENSE).
The data is provided for academic and visualization purposes only.
Major authors of the code are Frank Werner and Jan Keller-Findeisen
No specific installation is necessary. Execute "initialize.m" at least once before running other scripts to include all paths.
Make sure to run initialize.m at least once.
Call examples/example_xxx.m to see the software estimating a hybrid segmentation, and confidence intervalls on the number of markers in each segment for experimental or simulated photon antibunching microscopy data.
Make sure to run initialize.m at least once.