Machine vision microscopy for on-line sampling, analysis, and control

J. B. Litchfield, J. F. Reid, B. A. Richburg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A microscope/machine-vision system was developed and used as an on-line sensor for Bacillus thuringiensis and other fermentations. The apparatus included an automated sampler/diluter, a microscope/imaging system, an image processing system, and a controller. The system performed real-time image analysis of cell counts, contaminant and solid substrate detection, quantification of inclusion bodies, and spore and crystal protein counts. Using a neural-based classifier, the system has classified vegetative cells and spores with over 90% accuracy.

Original languageEnglish (US)
Title of host publicationIFAC Symposia Series
PublisherPubl by Pergamon Press Inc
Pages275-278
Number of pages4
Edition10
ISBN (Print)0080417108
StatePublished - Dec 1 1992
EventProceedings of the 2nd IFAC Symposium on Modeling and Control of Biotechnical Processes 1992 and the 5th International Conference on Computer Applications in Fermentation Technology - Keystone, CO, USA
Duration: Mar 29 1992Apr 2 1992

Publication series

NameIFAC Symposia Series
Number10
ISSN (Print)0962-9505

Other

OtherProceedings of the 2nd IFAC Symposium on Modeling and Control of Biotechnical Processes 1992 and the 5th International Conference on Computer Applications in Fermentation Technology
CityKeystone, CO, USA
Period3/29/924/2/92

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Litchfield, J. B., Reid, J. F., & Richburg, B. A. (1992). Machine vision microscopy for on-line sampling, analysis, and control. In IFAC Symposia Series (10 ed., pp. 275-278). (IFAC Symposia Series; No. 10). Publ by Pergamon Press Inc.