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Applied and Environmental Microbiology, October 2009, p. 6399-6401, Vol. 75, No. 19
0099-2240/09/$08.00+0 doi:10.1128/AEM.00651-09
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom
Received 19 March 2009/ Accepted 23 July 2009
Risk from an uncertain small inoculum depends on variability of single-cell lag times. However, quantifying single-cell variability is technically challenging. It is possible to estimate this variability using population growth parameters. We demonstrate this possibility using data from literature and show a Bayesian scheme for performing this task.
Published ahead of print on 31 July 2009.
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