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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*
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.

Type
Biological and Biomaterials Applications
Copyright
© Microscopy Society of America 2014 

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