Stochastic modelling of individual cell growth using flow chamber microscopy images.

Détails

ID Serval
serval:BIB_1596FD457CC9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Stochastic modelling of individual cell growth using flow chamber microscopy images.
Périodique
International Journal of Food Microbiology
Auteur(s)
Kutalik Z., Razaz M., Elfwing A., Ballagi A., Baranyi J.
ISSN
0168-1605 (Print)
ISSN-L
0168-1605
Statut éditorial
Publié
Date de publication
2005
Volume
105
Numéro
2
Pages
177-190
Langue
anglais
Résumé
In this paper, we analysed individual cell growth images obtained by flow chamber microscopy system. We used replicate flow chamber experiment data as reported by [Elfwing, A., Le Marc, Y., Baranyi, J., Ballagi, A., 2004. Observing the growth and division of large number of individual bacteria using image analysis. Applied and Environmental Microbiology 70, 675-678] involving both unstressed and heat shocked Listeria innocua cells. After observing the kinetics of a large number of cells, we propose a new stochastic model for their individual growth. By comparing our model with other existing models in the literature, we demonstrate that ours can accurately describe the growth of both stressed and unstressed cells. Our results indicate that the lag period, in terms of cell division, coincides dominantly with a lag period in terms of cell size. We also reveal various connections between cell length, lag time and cell division models. Finally, we present the results of our investigation on the effect of the duration of sublethal heat shock on the found growth properties.
Mots-clé
Biomass, Cell Division/physiology, Heat-Shock Response, Image Processing, Computer-Assisted, Kinetics, Listeria/cytology, Listeria/growth & development, Microscopy/methods, Models, Biological, Population Dynamics, Stochastic Processes, Time Factors
Pubmed
Web of science
Création de la notice
12/03/2013 13:34
Dernière modification de la notice
20/08/2019 13:44
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