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Oxford University Press (OUP), Bioinformatics, 11(30), p. 1609-1617

DOI: 10.1093/bioinformatics/btu080

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A benchmark for comparison of cell tracking algorithms

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: 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.