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Reliable Detection and Smart Deletion of Malassez Counting Chamber Grid in Microscopic White Light Images for Microbiological Applications

Published online by Cambridge University Press:  15 June 2015

Emmanuel Denimal ,
Ambroise Marin ,
Stéphane Guyot ,
Ludovic Journaux  and
Paul Molin
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
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
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. emmanuel.denimal@agrosupdijon.fr
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Abstract

In biology, hemocytometers such as Malassez slides are widely used and are effective tools for counting cells manually. In a previous work, a robust algorithm was developed for grid extraction in Malassez slide images. This algorithm was evaluated on a set of 135 images and grids were accurately detected in most cases, but there remained failures for the most difficult images. In this work, we present an optimization of this algorithm that allows for 100% grid detection and a 25% improvement in grid positioning accuracy. These improvements make the algorithm fully reliable for grid detection. This optimization also allows complete erasing of the grid without altering the cells, which eases their segmentation.

Keywords

MalassezFourier transformnoise filteringhomomorphic filteringimage analysis
Type
Biological Applications and Techniques
Information
Microscopy and Microanalysis , Volume 21 , Issue 4 , August 2015 , pp. 886 - 892
Copyright
© Microscopy Society of America 2015 

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