Publication details

A Benchmark for Comparison of Cell Tracking Algorithms

Authors

MAŠKA Martin ULMAN Vladimír SVOBODA David MATULA Pavel MATULA Petr EDERRA Cristina URBIOLA Ainhoa ESPANA Tomás VENKATESAN Subramanian BALAK Deepak M W KARAS Pavel BOLCKOVÁ Tereza ŠTREITOVÁ Markéta CARTHEL Craig CORALUPPI Stefano HARDER Nathalie ROHR Karl MAGNUSSON Klas E G JALDÉN Joakim BLAU Helen M DZYUBACHYK Oleh KŘÍŽEK Pavel HAGEN Guy M PASTOR-ESCUREDO David JIMENEZ-CARRETERO Daniel LEDESMA-CARBAYO Maria J MUNOZ-BARRUTIA Arrate MEIJERING Erik KOZUBEK Michal ORTIZ-DE-SOLORZANO Carlos

Type Article in Periodical
Magazine / Source Bioinformatics
MU Faculty or unit

Faculty of Informatics

Citation
WWW http://dx.doi.org/10.1093/bioinformatics/btu080
Doi http://dx.doi.org/10.1093/bioinformatics/btu080
Field Informatics
Keywords cell tracking; fluorescence microscopy
Description Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy is an important task in many biomedical applications. A novel framework for objective evaluation of cell tracking algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2013 Cell Tracking Challenge. In this article, we present the logistics, datasets, methods and results of the challenge and lay down the principles for future uses of this benchmark.
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