A benchmark for comparison of cell tracking algorithms Articles uri icon

authors

  • Maška, M.
  • ULMAN, V.
  • Svoboda, D.
  • MATULA, PAVEL
  • Matula, Petr
  • Ederra, C.
  • Urbiola, A.
  • España, T.
  • Venkatesan, S.
  • Balak, D.M.W.
  • Karas, P.
  • Bolcková, T.
  • Štreitová, M.
  • Carthel, C.
  • Coraluppi, S.
  • Harder, N.
  • Rohr, K.
  • Magnusson, K.E.G.
  • Jaldén, J.
  • Blau, H.M.
  • Dzyubachyk, O.
  • Krizek, Pavel
  • Hagen, G.M.
  • Pastor-Escuredo, D.
  • Jimenez-Carretero, D.
  • Ledesma-Carbayo, María J.
  • MUÑOZ BARRUTIA, MARIA ARRATE
  • MEIJERING, E.
  • Kozubek, Michal
  • ORTIZ DE SOLÓRZANO, CARLOS

publication date

  • June 2014

start page

  • 1609

end page

  • 1617

issue

  • 11

volume

  • 30

International Standard Serial Number (ISSN)

  • 1367-4803

abstract

  • 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.

keywords

  • algorithm; article; cell tracking; fluorescence microscopy; methodology; quality control; algorithms; benchmarking; cell tracking; microscopy; fluorescence