In PALM/(d)STORM, molecules are stochastically imaged, in order to temporally separate molecules which would otherwise be indistinguishable.
The position of each molecule is localized by fitting the measured photon distribution. The information from multiple imaging repetitions
is then combined to form a composite super-resolution PALM/(d)STORM image that contains the locations of many single molecules, even those
sharing a single diffraction-limited region.
The purpose of this website is to provide simulated and experimental data for the comparison and validation of PALM/(d)STORM localization,
reconstruction and visualization software packages.
Sharing standard data sets will help to allow clear comparisons between different analysis approaches.
We have made available one real biological dataset and one synthetic dataset.
The results of localization of some open-source software are also available.
Suliana Manley, Julia Gunzenhäuser and Nicolas Olivier, A starter kit for point-localization super-resolution imaging, Current Opinion in Chemical Biology, vol. 15, no 6, December 2011, pp 813-82.
Localization Microscopy • 2013 ISBI Challenge
Benchmarking of Single-Molecule Localization Microscopy Software
Comprehensive review of the single-molecule localization microscopy software based on ground-truth synthetic image sequence simulating biological structures and image formation process at the nanoscale resolution.