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dc.contributor.authorGinovart Gisbert, Marta
dc.contributor.authorCarbó Moliner, Rosa
dc.contributor.authorBlanco Abellán, Mónica
dc.contributor.authorPortell Canal, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
dc.date.accessioned2018-02-12T17:23:51Z
dc.date.available2018-02-12T17:23:51Z
dc.date.issued2018-01-04
dc.identifier.citationGinovart, M., Carbó, R., Blanco, M., Portell, X. Digital image analysis of yeast single cells growing in two different oxygen concentrations to analyze the population growth and to assist individual-based modeling. "Frontiers in Microbiology", 4 Gener 2018, vol. 8.
dc.identifier.issn1664-302X
dc.identifier.urihttp://hdl.handle.net/2117/114065
dc.description.abstractNowadays control of the growth of Saccharomyces to obtain biomass or cellular wall components is crucial for specific industrial applications. The general aim of this contribution is to deal with experimental data obtained from yeast cells and from yeast cultures to attempt the integration of the two levels of information, individual and population, to progress in the control of yeast biotechnological processes by means of the overall analysis of this set of experimental data, and to assist in the improvement of an individual-based model, namely, INDISIM-Saccha
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Modelització estadística
dc.subject.lcshImage analysis--Mathematical models
dc.subject.otherSaccharomyces cerevisiae
dc.subject.othermorphometry
dc.subject.otherimage analysis
dc.subject.otheraerobic
dc.subject.othermicroaerophilic
dc.subject.otherBuchanan model
dc.subject.otherindividual-based model
dc.subject.otherINDISIM-Saccha
dc.titleDigital image analysis of yeast single cells growing in two different oxygen concentrations to analyze the population growth and to assist individual-based modeling
dc.typeArticle
dc.subject.lemacModelització multiescala
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos
dc.contributor.groupUniversitat Politècnica de Catalunya. GRHCT - Grup de Recerca d'Història de la Ciència i de la Tècnica
dc.identifier.doi10.3389/fmicb.2017.02628
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fmicb.2017.02628/full
dc.rights.accessOpen Access
local.identifier.drac21691865
dc.description.versionPostprint (published version)
local.citation.authorGinovart, M.; Carbó, R.; Blanco, M.; Portell, X.
local.citation.publicationNameFrontiers in Microbiology
local.citation.volume8
local.citation.startingPage2628
local.citation.editionGinovart M, Carbó R, Blanco M and Portell X (2018) Digital Image Analysis of Yeast Single Cells Growing in Two Different Oxygen Concentrations to Analyze the Population Growth and to Assist Individual-Based Modeling. Front. Microbiol. 8:2628. doi: 10.3389/fmicb.2017.02628
dc.identifier.pmid29354112


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