University of Heidelberg


27.01.18 18:53 Age: 2 yrs

Cell Tracking Challenge, Nature Methods 2017


The cell tracking method of the BMCV group yielded top-ranking results in an international competition. The method developed by Nathalie Harder and Karl Rohr automatically determines the trajectories of cells in microscopy images and enables quantifying important biological processes such as cell migration and cell growth. In the Cell Tracking Challenge, the method yielded the best result in detecting cell cycles and was among the top three methods with respect to the total number of top-3 ranks. The results of the competition of a total of 21 methods from 11 countries were published in the journal Nature Methods. The announcement of the University of Heidelberg can be found here.


Ulman V, Maška M, Magnusson KEG, Ronneberger O, Haubold C, Harder N, Matula Pa, Matula Pe, Svoboda D, Radojevic M, Smal I, Rohr K, Jaldén J, Blau HM, Dzyubachyk O, Lelieveldt B, Xiao P, Li Y, Cho S-Y, Dufour A, Olivo-Marin JC, Reyes-Aldasoro CC, Solis-Lemus JA, Bensch R, Brox T, Stegmaier J, Mikut R, Wolf S, Hamprecht FA, Esteves T, Quelhas P, Demirel Ö, Malmström L, Jug F, Tomančák P, Meijering E, Muñoz-Barrutia A, Kozubek M, Ortiz-de-Solorzano C. (2017) An Objective Comparison of Cell Tracking Algorithms. Nature Methods 14, 1141–1152. doi:10.1038/nmeth.4473


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