Mathematical modeling of biofilm structures using COMSTAT data
type: Item
instance of: scholarly article
title: Mathematical modeling of biofilm structures using COMSTAT data
zbMATH Open document ID: 1409.92160
DOI: 10.1155/2017/7246286
author: Davide Verotta
author: Janus Haagensen
author: Alfred M. Spormann
author: Katherine Yang
published in: Computational \& Mathematical Methods in Medicine
publication date: 2019-03-13T00:00:00Z
review text: Summary: Mathematical modeling holds great potential for quantitatively describing biofilm growth in presence or absence of chemical agents used to limit or promote biofilm growth. In this paper, we describe a general mathematical/statistical framework that allows for the characterization of complex data in terms of few parameters and the capability to (i) compare different experiments and exposures to different agents, (ii) test different hypotheses regarding biofilm growth and interaction with different agents, and (iii) simulate arbitrary administrations of agents. The mathematical framework is divided to submodels characterizing biofilm, including new models characterizing live biofilm growth and dead cell accumulation; the interaction with agents inhibiting or stimulating growth; the kinetics of the agents. The statistical framework can take into account measurement and interexperiment variation. We demonstrate the application of (some of) the models using confocal microscopy data obtained using the computer program COMSTAT.
Mathematics Subject Classification ID: 92C99
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7035645
zbMATH Keywords: biofilm structures
zbMATH Keywords: biofilm growth
zbMATH Keywords: mathematical/statistical framework
Wikidata QID: Q49474316
describes a project that uses: COMSTAT
describes a project that uses: R
describes a project that uses: NONMEM
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/7246286
OpenAlex ID: W2778203181
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DBLP publication ID: journals/cmmm/VerottaHSY17
description: scientific article; zbMATH DE number 7035645