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Veterinary Research Communications

, Volume 32, Supplement 1, pp 355–357 | Cite as

Image analysis applied to the classic microscopic method in animal meal characterization

  • L. Pinotti
  • C. Paltanin
  • L. Maggioni
  • V. Peri
  • G. Savoini
Abstract

Introduction

The TSE Roadmap (Directorate-General for Health and Consumer Protection 2005) published in 2005 suggests that short and medium term (2005–2009) amendments to control BSE policy should include “a relaxation of certain measures of the current total feed ban when certain conditions are met”. The same document noted that “the starting point when revising the current feed ban provisions should be risk-based but at the same time taking into account the control tools in place to evaluate and ensure the proper implementation of this feed ban”. The clear implication is that adequate analytical methods to detect constituents of animal origin in feedstuffs are required (Gizzi et al. 2003).

In this context the use of microscopic methods in association with computer image analysis to identify the source species of such feedstuff contaminants can provide accurate and reliable results and can be a very useful aid to the analyst in the characterisation, analysis and control of feedstuffs...

Keywords

Computer recognition Image analysis Lacune Pen tablet 

References

  1. Directorate-General for Health and Consumer Protection 2005. “The TSE Roadmap”, European Commission, Brussels, COM 322 FINAL.Google Scholar
  2. Gizzi G., van Raamsdonk L.W.D., Baeten V., Murray I., Berben G., Brambilla G., von Holst C., 2003. An overview of tests for animal tissues in feeds applied in response to public health concerns regarding bovine spongiform encephalopathy. Review Scientific and Technical of the Office International of Épizooties, 22(1), 311–331.Google Scholar
  3. Pinotti L., Campagnoli A., Tognon G., Cheli F., Dell’Orto V., Savoini G., 2004. Microscopic method in processed animal proteins identification in feed: applications of image analysis. Biotechnology, Agronomy, Society and Environment, 8(4), 249–251.Google Scholar
  4. Russ J.C., 2005. Image Analysis of Food Microstructure, CRC press: Raleigh.Google Scholar
  5. SAS, 1999. Statistical Analysis System Istitute, SAS/STATÒUser’s Guide, Version 6.03, 6th Edition. SAS Institute Inc.: Cary.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • L. Pinotti
    • 1
  • C. Paltanin
    • 1
  • L. Maggioni
    • 1
  • V. Peri
    • 1
  • G. Savoini
    • 1
  1. 1.Department of Veterinary Science and Technology for Food Safety, Faculty of Veterinary MedicineUniversity of MilanMilanoItaly

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