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 AND AFFILIATIONS
- Mats Kvarnström, Fraunhofer-Chalmers Centre
- Katarina Logg, Dept. of Applied Physics, Chalmers University of Technology
- Alfredo Diez, Dept. of Applied Physics, Chalmers University of Technology
- Kristofer Bodvard, Dept. of Applied Physics, Chalmers University of Technology
- Mikael Käll, Dept. of Applied Physics, Chalmers University of Technology