title: Image analysis algorithms for cell contour recognition in budding yeast.
abstract: Quantification of protein abundance and subcellular localization dynamics from fluorescence microscopy images is of high contemporary interest in cell and molecular biology. For large-scale studies of cell populations and for time-lapse studies, such quantitative analysis can not be performed effectively without some kind of automated image analysis tool. Here, we present fast algorithms for automatic cell contour recognition in bright field images, optimized to the model organism budding yeast (Saccharomyces cerevisiae). The cell contours can be used to effectively quantify cell morphology parameters as well as protein abundance and subcellular localization from overlaid fluorescence data.
authors: Fraunhofer-Chalmers Research Centre, Chalmers Science Park, SE-412 88 Göteborg, Sweden. mats.kvarnstrom@fcc.chalmers.se
authors: Mats
authors: M
authors: Kvarnström
authors: Katarina
authors: K
authors: Logg
authors: Alfredo
authors: A
authors: Diez
authors: Kristofer
authors: K
authors: Bodvard
authors: Mikael
authors: M
authors: Käll
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D048429:Cell Size; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000166:cytology*