2018
DOI: 10.1016/j.physa.2018.07.052
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Stochastic effects in mean-field population growth: The quasi-Gaussian approximation to the case of a Taylor’s law-distributed substrate

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Cited by 3 publications
(7 citation statements)
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“…These factors can both amplify sensitivity to, and obscure the role of, extrinsic physiochemical variables. [34][35][36][37][38] Therefore, even slight differences in experimental parameters can have a large effect on the measured properties, especially in multicellular systems such as biofilms. Even with accurate analytical chemistry tools such as FTIR, bioanalytical studies can suffer from poor measurement repeatability, which strongly limits reliable analysis and transferability to other studies.…”
Section: Discussionmentioning
confidence: 99%
“…These factors can both amplify sensitivity to, and obscure the role of, extrinsic physiochemical variables. [34][35][36][37][38] Therefore, even slight differences in experimental parameters can have a large effect on the measured properties, especially in multicellular systems such as biofilms. Even with accurate analytical chemistry tools such as FTIR, bioanalytical studies can suffer from poor measurement repeatability, which strongly limits reliable analysis and transferability to other studies.…”
Section: Discussionmentioning
confidence: 99%
“…On the contrary, it has been recently revealed [15] that the stochasticity in the growth rates, under quite general assumptions on their probability density distribution, results in the replacement of the semilogarithmic linearity with the quadratic logarithmic growth function log(N/N 0 ) = rt + (σ 2 /2)t 2 . Namely, a similar curve shape is detected in the experimental observations in Figure 1A, and the details will be given in the section Data Description.…”
Section: Discussionmentioning
confidence: 99%
“…Following [15], let us consider the growing mycobacterial culture as consisting of multiple sub-populations N P (individual bacteria, bacterial colonies, or even groups of colonies) parametrized by the variable P, each of which grows exponentially within the chosen time interval between the lag-phase and the start of saturation:…”
Section: Data Discussion With Respect To the Stochastic Growth Modelmentioning
confidence: 99%
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