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A Robust Generic Method for Grid Detection in White Light Microscopy Malassez Blade Images in the Context of Cell Counting

Published online by Cambridge University Press:  16 December 2014

Ambroise Marin ,
Emmanuel Denimal ,
Stéphane Guyot ,
Ludovic Journaux  and
Paul Molin
Ambroise Marin*
Affiliation:
Service Systèmes d’Information, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France Groupe Modélisation Numérique en Agronomie et AgroAlimentaire, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France
Emmanuel Denimal
Affiliation:
Service Systèmes d’Information, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France Groupe Modélisation Numérique en Agronomie et AgroAlimentaire, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France
Stéphane Guyot
Affiliation:
UMR A 02.102 Procédés Alimentaires et Microbiologiques, équipe Procédés Microbiologiques et Biotechnologiques, AgroSup Dijon / Université de Bourgogne, 1 esplanade Erasme, 21000 Dijon, France
Ludovic Journaux
Affiliation:
Groupe Modélisation Numérique en Agronomie et AgroAlimentaire, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France Laboratoire Electronique, Informatique et Image, Université de Bourgogne, UFR Sciences et Techniques, allée Alain Savary, 21000 Dijon, France
Paul Molin
Affiliation:
Groupe Modélisation Numérique en Agronomie et AgroAlimentaire, AgroSup Dijon, 26 boulevard Docteur Petitjean, 21000 Dijon, France UMR A 02.102 Procédés Alimentaires et Microbiologiques, équipe Procédés Microbiologiques et Biotechnologiques, AgroSup Dijon / Université de Bourgogne, 1 esplanade Erasme, 21000 Dijon, France
*
*Corresponding author.[email protected]
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Abstract

In biology, cell counting is a primary measurement and it is usually performed manually using hemocytometers such as Malassez blades. This work is tedious and can be automated using image processing. An algorithm based on Fourier transform filtering and the Hough transform was developed for Malassez blade grid extraction. This facilitates cell segmentation and counting within the grid. For the present work, a set of 137 images with high variability was processed. Grids were accurately detected in 98% of these images.

Keywords

MalassezFourier transformHough transformmorphological mathematicscell segmentationimage analysis
Type
Biological and Biomaterials Applications
Information
Microscopy and Microanalysis , Volume 21 , Issue 1 , February 2015 , pp. 239 - 248
Copyright
© Microscopy Society of America 2014 

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References

Bresenham, J.E. (1965). Algorithm for computer control of a digital plotter. IBM Syst J 4(1), 25–30.CrossRefGoogle Scholar
Chen, Y.W. & Chiang, P.-J. (2011). Automatic cell counting for hemocytometers through image processing. World Acad Sci Eng Technol 5.Google Scholar
Cooley, J.W. & Tukey, J.W. (1965). An algorithm for the machine calculation of complex fourier series. Math Computation 19, 297–301.CrossRefGoogle Scholar
Gupta, S. & Mazumdar, S.G. (2013). Sobel edge detection algorithm. Int J Comp Sci Manag Res 2(2), 1578–1583.Google Scholar
Hibar, K., Daami-Remadi, M., Ayed, F. & El Mahjoub, M. (2007). Fusarium crown and root rot of tomato and its chemical control. Int J Agric Res 2.CrossRefGoogle Scholar
Norrish, R.S. (1966). An equation for the activity coefficients and equilibrium relative humidities of water in confectionery syrups. J Food Technol 1, 25–39.Google Scholar
Otsu, N. (1979). A threshold selection method from gray-level histograms. Automatica 11, 23–27.Google Scholar
Serra, J. (1982). Image analysis and mathematical morphology, v. 1, Academic press.Google Scholar
Shapiro, L., Stockman, G.C. (2001). Computer Vision. 2001. ed: Prentice Hall. Google Scholar