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Automated Cell Counting in Bürker Chamber

  • Karel Štěpka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7944)

Abstract

Estimating the number of blood cells in a sample is an important task in biological research. However, manual counting of cells in microscopy images of counting chambers is very time-consuming. We present an image processing method for detecting the chamber grid and the cells, based on their similarity to an automatically selected sample cell. Due to this approach, the method does not depend on specific cell structure, and can be used for blood cells of different species without adjustments. If deemed appropriate, user interaction is allowed to select the sample cell and adjust the parameters manually. We also present the accuracy and speed evaluation of the method.

Keywords

cell counting image analysis hemocytometer 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Karel Štěpka
    • 1
  1. 1.Centre for Biomedical Image Analysis, Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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