Affiliation:
1. Water Research Laboratory, Faculty of Food and Environmental Sciences, Hawkesbury Agricultural College, Richmond, New South Wales, Australia 2753
Abstract
A novel method for rapid determination of total microbial cell numbers was investigated. The method involves the application of most-probable-number estimation statistics to direct microscopic counting of microbial cells by using a particle sizing graticule. Its accuracy and reliability were tested with computer simulations of bacterial cell distributions encountered in ecological studies. Good estimates of cell numbers were obtained when the cell density varied from 3 to 6,000 cells per field, i.e., over 3 orders of magnitude. Low levels of contagion did not markedly influence cell estimates, although high levels, corresponding to discrete scattered microcolonies, did. However, these could be recognized visually. Estimates of cell numbers in Breed smears confirmed its speed and good correlation with the standard quadrat counting technique under real experimental conditions.
Publisher
American Society for Microbiology
Subject
Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology
Reference20 articles.
1. American Public Health Association. 1967. Standard methods for the examination of dairy products 12th ed. American Public Health Association New York.
2. Host variability in dilution experiments;Armitage P.;Biometrics,1959
3. An examination of some experimental cancer data in light of the one-hit theory of infectivity titrations;Armitage P.;J. Natl. Cancer Inst.,1959
4. The detection of host variability in a dilution series with single observations;Armitage P.;Biometrics,1960
5. Automatic determination of bacterioplankton biomass by image analysis;Bjornsen P. K.;Appl. Environ. Microbiol.,1986
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