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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
|
| pubmed:dateCreated |
1988-11-17
|
| pubmed:abstractText |
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 approximately 3% of those scanned. Visual examination was still required to distinguish bacterial cells from other stained objects which occasionally occur.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Apr
|
| pubmed:issn |
0266-7061
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
4
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
291-5
|
| pubmed:dateRevised |
2000-12-18
|
| pubmed:meshHeading | |
| pubmed:year |
1988
|
| pubmed:articleTitle |
Detection and quantification of microorganisms in a heterogeneous foodstuff by image analysis.
|
| pubmed:affiliation |
Department of Genetics and Microbiology, AFRC Institute of Food Research, Norwich Laboratory, UK.
|
| pubmed:publicationType |
Journal Article
|