title: Stochastic modelling of individual cell growth using flow chamber microscopy images.
abstract: 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.
authors.affiliation: Royal Society Wolfson Bioinformatics Research Laboratory, School of Computing Sciences, University of East Anglia, Norwich, UK. z.kutalik@uea.ac.uk
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Kutalik
authors.forename: Moe
authors.initials: M
authors.lastname: Razaz
authors.forename: Anders
authors.initials: A
authors.lastname: Elfwing
authors.forename: András
authors.initials: A
authors.lastname: Ballagi
authors.forename: József
authors.initials: J
authors.lastname: Baranyi
mesh_terms: D018533:Biomass; D002455:Cell Division / Q000502:physiology; D018869:Heat-Shock Response; D007091:Image Processing, Computer-Assisted; D007700:Kinetics; D008087:Listeria / Q000166:cytology* / Q000254:growth & development* / Q000502:physiology; D008853:Microscopy / Q000379:methods; D008954:Models, Biological; D011157:Population Dynamics; D013269:Stochastic Processes; D013997:Time Factors