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the Single-Molecule Localization Microscopy Symposium

Single-Molecule Localization Microscopy  •  Software Benchmarking

Benchmarking of the software

Results of evaluation will be reported soon!.

If you are a participant, please contact the organizers to have an access to your results.

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Comparative results

A comparative table of results will be provided soon!

Results of a software

The detailled results of the evaluation for a specific software has been communicated to the the participants for every submitted localization files corresponding to a dataset. It is included the full statistical analysis, some rendering images, some comparative rendering image (tested software localization vs ground-truth), and some cross-section profiles.

Example of comparitive close-ups

Rendering images by sum up of 2D Gaussian functions. The composite color image cobimes red channel (Ground-truth localizations) and the green channel (tested software localizations).

Scale bar: 4400 nm
Rendering pixelsize: 44 nm/pixel
Scale bar: 400 nm
Rendering pixelsize: 4 nm/pixel
Scale bar: 100 nm
Rendering pixelsize: 1 nm/pixel

Example of cross-section

Rendering images by sum up of 2D Gaussian functions. The composite color image cobimes red channel (Ground-truth localizations) and the green channel (tested software localizations).

Detection answer in function of the local SNR

Results per datasets

A comparative table of results will be provided soon!

Java tool for evaluation

CompareLocalization: Java application

A Java application to compare two sets of localization is given at CompareLocalization.jar. The positions of the molecules have to be stored in a column-separated text file, as CSV file. Information to parse this file has to provided in a XML description file or provided using the graphical user interface. A tool to create the XML file available

Examples

This application can run on any machine with at least Java 1.5 installed.

Java code to compute the Jaccard index, the F-Score index, and the RMSD

	
	

© 2017 Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Last update: 31 Mar 2017