Excellent result at Particle Tracking Challenge
Tracking individual biological particles in time-resolved fluorescence microscopy image data plays a central role in the quantitative analysis of the behavior of these structures. Tracking enables determining the position of structures over time, and a number of approaches have been developed in the past years.
To objectively compare the performance of several tracking approaches, for the first time, a Particle Tracking Challenge contest was held at the IEEE International Symposium on Biomedical Imaging (ISBI) 2012 in Barcelona, Spain. The Challenge consisted in automatically tracking fluorescent particles in 2D and 3D microscopy image sequences of four different application scenarios: vesicles, virus particles, receptors, and microtubule tips. For each scenario, different object densities and image noise levels were investigated. 14 groups world-wide participated in the Challenge, and different measures were used to quantify and rank the tracking approaches.
The results of the Challenge have been recently published in an article in the Nature Methods journal. The probabilistic tracking approach of the BMCV group (W.J. Godinez, K. Rohr) achieved the most accurate results overall.
Publication:
N. Chenouard, I.
Smal, F. de Chaumont, M. Maška, I.F. Sbalzarini, Y. Gong, J. Cardinale, C.
Carthel, S. Coraluppi, M. Winter, A.R. Cohen, W.J. Godinez, K. Rohr,
Y. Kalaidzidis, L. Liang, J. Duncan, H. Shen, Y. Xu, K.E.G. Magnusson, J.
Jaldén, H.M. Blau, P. Paul-Gilloteaux, P. Roudot, C. Kervrann, F. Waharte, J.Y.
Tinevez, S.L. Shorte, J. Willemse, K. Celler, G.P. van Wezel, H.W. Dan, Y.S.
Tsai, C. Ortiz de Solórzano, J.C. Olivo-Marin, E. Meijering: Objective comparison of particle tracking
methods. Nature
Methods (March 2014), Volume 11, Issue 3, 281-289,
doi: 10.1038/nmeth.2808
Related Links:
- ISBI 2012 Particle Tracking Challenge Website
- Publication in Nature Methods
- Press release of the University of Heidelberg
- Press release of the University of Heidelberg [in German]
- Tweet from the Twitter account of the University of Heidelberg [in German]
- Informationsdienst Wissenschaft
- Informationsdienst Wissenschaft [in German]
- BioQuant, University of Heidelberg
- CellNetworks, Cluster of Excellence, University of Heidelberg
- BIOPRO Baden-Württemberg GmbH: Automatic tracking of biological particles
- BIOPRO Baden-Württemberg GmbH: Automatisches Tracking biologischer Partikel
- BIOPRO Baden-Württemberg GmbH: Data mining: new opportunities for medicine and public health
- BIOPRO Baden-Württemberg GmbH: Data-Mining: Neue Chancen für Medizin und Gesundheit
- LABORPRAXIS: Automatisches Tracking von biologischen Partikeln in Zellen
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