Recipients of the Bitplane Attendance Awards announced

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Bitplane, an Oxford Instruments Company and the world leader in 2 to 4D image visualisation, analysis and interpretation, today announced the three recipients of the Bitplane Attendance Awards. The prize covers the registration fees for the 2014 IEEE Symposium on Biomedical Imaging in Beijing, with the recipients being recognised during the challenge workshop on April 30th. The winners have been selected by the organizers of the 2nd Cell Tracking Challenge from among the participating scientists, and were chosen due to the high quality of their submitted results.

The recipients of the Bitplane Attendance award are:

  • Nathalie Harder, DKFZ and University of Heidelberg, Germany
  • Klas Magnusson, KTH Royal Institute of Technology, Sweden
  • Nicolás Rey-Villamizar, University of Houston, TX, USA

Dr Luciano Lucas, Product Manager and Head of Sales for Bitplane, said, “Accurately detecting and quantifying the motion of living cells is of key importance when it comes to understanding key pathological processes (e.g. the formation of metastasis in cancer patients) as well as for measuring the effect of therapies. The Cell Tracking Challenge is a great way to focus the scientific community on this very important topic thus promoting the development of new tracking methods, which ultimately can help us better understand disease processes and devise potential treatments. Bitplane is proud to be part of this effort.”

Dr. Carlos Ortiz de Solórzano, Senior Scientist at the Center for Applied Medical Research (Pamplona, Spain) and main organizer of the 2nd Cell Tracking Challenge said: “I am very grateful to Bitplane for its support to this edition of the Cell Tracking Challenge. It shows Bitplane’s commitment to the field of biological image processing through its support of the work of these young scientists who have successfully participated in the Challenge. I believe that our effort towards providing an objective framework for the evaluation of cell tracking algorithms will eventually contribute to the benefit of the biological community, by facilitating its access to the best tools to be applied to the study of normal biology and disease.”

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