Top algorithm for particle tracking

Fast and top-performing software from the MOSAIC Group

The MOSAIC group at the MPI-CBG participated in a grand challenge at the IEEE Symposium on Biomedical Imaging (ISBI) about object tracking in fluorescence microscopy images in 2012. The challenge was to track microtubules, viruses, endosomes, and receptors in both 2D and 3D.

The results of comparing 14 different algorithms from different labs have now been published in Nature Methods, and even made the cover. An editorial and a News+Views article on the topic have been published in the same issue.

The algorithm from the MPI-CBG group, as available in the open-source MOSAICsuite software for ImageJ and Fiji, scores very high with a total of 166 top-three mentions: “It is among the best performing, most versatile, and fastest of all tested algorithms”, says MOSAIC group leader Ivo Sbalzarini.

Original Publication

Nicolas Chenouard, Ihor Smal, Fabrice de Chaumont, Martin Maška, Ivo F Sbalzarini, Yuanhao Gong, Janick Cardinale, Craig Carthel, Stefano Coraluppi, Mark Winter, Andrew R Cohen, William J Godinez, Karl Rohr, Yannis Kalaidzidis, Liang Liang, James Duncan, Hongying Shen, Yingke Xu, Klas E G Magnusson, Joakim Jaldén, Helen M Blau, Perrine Paul-Gilloteaux, Philippe Roudot, Charles Kervrann, François Waharte et al.:
Objective comparison of particle tracking methods
Nature Methods 11, 281–289 (2014)