Benchmarking of Single-Molecule Localization Microscopy Software
Comprehensive review of the single-molecule localization microscopy (SMLM) software packages. This benchmarking uses on common reference datasets that simulates biological structures and image formation process. This evaluation of the software packages is performed with well-defined metrics to get an objective and quantitative assessment.
The challenge is now turned into a permanent challenge.
NATURE METHODS | ANALYSIS
D. Sage, H. Kirshner, T. Pengo, N. Stuurman, J. Min, S. Manley & M. Unser, Quantitative evaluation of software packages for single-molecule localization microscopy, Nature Methods (2015) ...
Super-resolution fluorescence microscopy is an emerging multidisciplinary field that has opened up new opportunities in studying the living cell at the nanometer scale. It overcomes the classical ...Read more
The goal of this challenge is to benchmark currently available localization software. In particular, comparing their performance in terms of detection rate, localization accuracy, and computatio ...Read more
This localization microscopy challenge goes hand in hand with the Open Bio Image Alliance (OBIA) mission. This consortium for bioimaging informatics aims at providing high-quality resources to bio ...Read more
The second edition of challenge will be held in the Single Molecule Localization Microscopy Symposium (SMLMS) at Lausanne, Switzerland (29 August 2016). This edition will be focus on the 3D localization techniques and software. Send an email to be kept informed.
Advanced online publication of the comparative results on the Nature Methods website.
Update of the comprehensive list of SMLM software packages. 45 for localization software and 6 for deconvolution-type reconstruction software.
These reference datasets are designed to be largely used by the developpers to validate theirs software and by the users to check a software. They can be freely used if the sources and references are properly cited.
The ISBI Challenge is turned to a permanent online challenge.
Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Last update: 13 Jun 2015