title: Quantifying two-dimensional filamentous and invasive growth spatial patterns in yeast colonies.
abstract: The 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.
authors.affiliation: School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
authors.forename: Benjamin J
authors.initials: BJ
authors.lastname: Binder
authors.affiliation: School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, Adelaide, South Australia, Australia.
authors.forename: Joanna F
authors.initials: JF
authors.lastname: Sundstrom
authors.affiliation: School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, Adelaide, South Australia, Australia.
authors.forename: Jennifer M
authors.initials: JM
authors.lastname: Gardner
authors.affiliation: School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, Adelaide, South Australia, Australia.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Jiranek
authors.affiliation: Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
authors.forename: Stephen G
authors.initials: SG
authors.lastname: Oliver
mesh_terms: D019295:Computational Biology; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000254:growth & development* / Q000502:physiology*