Image analysis algorithms for cell contour recognition in budding yeast
Journal article, 2008

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.

Author

Mats Kvarnström

Chalmers, Applied Physics, Bionanophotonics

Katarina Logg

Chalmers, Applied Physics, Bionanophotonics

Alfredo Diez

Chalmers, Applied Physics, Bionanophotonics

Kristofer Bodvard

Chalmers, Applied Physics, Bionanophotonics

Mikael Käll

Chalmers, Applied Physics, Bionanophotonics

Optics Express

1094-4087 (ISSN)

Vol. 16 17 12943-12957

Subject Categories

Biochemistry and Molecular Biology

Computational Mathematics

Atom and Molecular Physics and Optics

DOI

10.1364/OE.16.012943

More information

Created

10/6/2017