Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/97188
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dc.contributor.authorBinder, B.-
dc.contributor.authorSundstrom, J.-
dc.contributor.authorGardner, J.-
dc.contributor.authorJiranek, V.-
dc.contributor.authorOliver, S.-
dc.contributor.editorLauffenburger, D.-
dc.date.issued2015-
dc.identifier.citationPLoS Computational Biology, 2015; 11(2):e1004070-1-e1004070-15-
dc.identifier.issn1553-7358-
dc.identifier.issn1553-7358-
dc.identifier.urihttp://hdl.handle.net/2440/97188-
dc.description.abstractThe top-view, two-dimensional spatial patterning of non-uniform growth in a Saccharomyces cerevisiae yeast colony is considered. Experimental images are processed to obtain data sets that provide spatial information on the cell-area that is occupied by the colony. A method is developed that allows for the analysis of the spatial distribution with three metrics. The growth of the colony is quantified in both the radial direction from the centre of the colony and in the angular direction in a prescribed outer region of the colony. It is shown that during the period of 100-200 hours from the start of the growth of the colony there is an increasing amount of non-uniform growth. The statistical framework outlined in this work provides a platform for comparative quantitative assays of strain-specific mechanisms, with potential implementation in inferencing algorithms used for parameter-rate estimation.-
dc.description.statementofresponsibilityBenjamin J. Binder, Joanna F. Sundstrom, Jennifer M. Gardner, Vladimir Jiranek, Stephen G. Oliver-
dc.language.isoen-
dc.publisherPublic Library of Science-
dc.rights© 2015 Binder et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited-
dc.source.urihttp://dx.doi.org/10.1371/journal.pcbi.1004070-
dc.subjectSaccharomyces cerevisiae-
dc.subjectComputational Biology-
dc.subjectModels, Biological-
dc.subjectImage Processing, Computer-Assisted-
dc.titleQuantifying two-dimensional filamentous and invasive growth spatial patterns in yeast colonies-
dc.typeJournal article-
dc.identifier.doi10.1371/journal.pcbi.1004070-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1069757-
pubs.publication-statusPublished-
dc.identifier.orcidBinder, B. [0000-0002-1812-6715]-
dc.identifier.orcidSundstrom, J. [0000-0002-4898-3101]-
dc.identifier.orcidGardner, J. [0000-0002-4215-955X]-
dc.identifier.orcidJiranek, V. [0000-0002-9775-8963]-
Appears in Collections:Aurora harvest 3
Mathematical Sciences publications

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