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Image analysis algorithms for cell contour recognition in budding yeast

Mats Kvarnström (Institutionen för teknisk fysik, Bionanofotonik) ; Katarina Logg (Institutionen för teknisk fysik, Bionanofotonik) ; Alfredo Diez (Institutionen för teknisk fysik, Bionanofotonik) ; Kristofer Bodvard (Institutionen för teknisk fysik, Bionanofotonik) ; Mikael Käll (Institutionen för teknisk fysik, Bionanofotonik)
Optics Express (1094-4087). Vol. 16 (2008), 17, p. 12943-12957.
[Artikel, refereegranskad vetenskaplig]

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.

Denna post skapades 2009-03-05. Senast ändrad 2017-10-03.
CPL Pubid: 91097


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Institutioner (Chalmers)

Institutionen för teknisk fysik, Bionanofotonik (2007-2015)


Tillämpad matematik
Cell- och molekylärbiologi

Chalmers infrastruktur

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