Journal of Dairy Science
Volume 91, Issue 4 , Pages 1325-1333, April 2008

Technical Note: Confocal Scanning Laser Microscopy and Quantitative Image Analysis: Application to Cream Cheese Microstructure Investigation

  • F. Fenoul

      Affiliations

    • Groupe Bel, Département Recherche Appliquée 7 boulevard de l’Industrie—BP40077, 41102 Vendôme Cedex, France
  • ,
  • M. Le Denmat

      Affiliations

    • Groupe Bel, Département Recherche Appliquée 7 boulevard de l’Industrie—BP40077, 41102 Vendôme Cedex, France
  • ,
  • F. Hamdi

      Affiliations

    • Groupe Bel, Département Recherche Appliquée 7 boulevard de l’Industrie—BP40077, 41102 Vendôme Cedex, France
  • ,
  • G. Cuvelier

      Affiliations

    • AgroParisTech, UMR SCALE no. 1211, ENSIA-INRA-CNAM 1 avenue des Olympiades, 91744 Massy Cedex, France
  • ,
  • C. Michon

      Affiliations

    • AgroParisTech, UMR SCALE no. 1211, ENSIA-INRA-CNAM 1 avenue des Olympiades, 91744 Massy Cedex, France
    • Corresponding Author InformationCorresponding author.

Received 19 July 2007; accepted 5 December 2007.

Abstract 

The naked eye observation of cream cheese confocal scanning laser microscopy images only provides qualitative information about its microstructure. Because those products are dense dairy gels, confocal scanning laser microscopy images of 2 different cream cheeses may appear close. Quantitative image analysis is then necessary to compensate for human eye deficiency (e.g., lack of precision, subjectivity). Two kinds of quantitative image analysis were performed in this study: high-order statistical methods and grayscale mathematical morphology. They were applied to study the microstructure of 3 different cream cheeses (same manufacturing process, same dry matter content, but different fat and protein contents). Advantages and drawbacks of both methods are reviewed. The way they may be used to describe cream cheese microstructure is also presented.

Key words: cream cheese, microstructure, confocal scanning laser microscopy, image analysis

 

PII: S0022-0302(08)71260-8

doi:10.3168/jds.2007-0531

Journal of Dairy Science
Volume 91, Issue 4 , Pages 1325-1333, April 2008