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© IRL Press Limited

Detection and quantification of microorganisms in a heterogeneous foodstuff by image analysis

M.A. Fernandes , P. J. H. Jackman *, S.A. Clark and S. R. Gunard

Department of Genetics and Microbiology, AFRC Institute of Food Research, Norwich Laboratory Colney Lane, Norwich NR4 7UA, UK

*To whom reprint requests should be sent

A relatively inexpensive image analysis system has been developed to semi-automate the detection and quantification of microbial growth in sections of food. A system based on an IBM PC compatible, with a frame store card, was programmed to scan Gram-stained sections using a motorized stage. Each field of view was thresholded after subtraction of a background image and the area between two thresholds measured. In the food studied it was found that, by using a size limit, it was possible to reduce the number of fields that needed to be examined by a microscopist to ~3% of those scanned. Visual examination was still required to distinguish bacterial cells from other stained objects which occasionally occur.

Received on September 8, 1987; accepted on January 2, 1988

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