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Applied and Environmental Microbiology, November 2008, p. 7098-7099, Vol. 74, No. 22
0099-2240/08/$08.00+0     doi:10.1128/AEM.01277-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Estimating Single-Cell Lag Times via a Bayesian Scheme{triangledown}

P. K. Malakar* and G. C. Barker

Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom

Received 9 June 2008/ Accepted 9 September 2008

Network models offer computationally efficient tools for estimating the variability of single-cell lag phases. Currently, optical methods for estimating the variability of single-cell lag phases use single-cell inocula and are technically challenging. A Bayesian network model incorporating small uncertain inocula addresses these limitations.

* Corresponding author. Mailing address: Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom. Phone: 44 1603 255141. Fax: 44 1603 507723. E-mail: pradeep.malakar{at}bbsrc.ac.uk

{triangledown} Published ahead of print on 19 September 2008.

Applied and Environmental Microbiology, November 2008, p. 7098-7099, Vol. 74, No. 22
0099-2240/08/$08.00+0     doi:10.1128/AEM.01277-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.



This article has been cited by other articles:

  • Malakar, P. K., Barker, G. C. (2009). Estimating Risk from Small Inocula by Using Population Growth Parameters. Appl. Environ. Microbiol. 75: 6399-6401 [Abstract] [Full Text]  


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