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Title
An active-contour based algorithm for the automated segmentation of dense yeast populations on transmission microscopy images
AuthorBredies, Kristian ; Wolinski, Heimo
Published in
Computing and visualization in science, Berlin ; Heidelberg : Springer, 1.1997 - 6.2013; 17.2015 -, Vol. 14, Issue 7, page 341-352
PublishedSpringer
LanguageEnglish
Document typeJournal Article
Keywords (EN)Cell segmentation / Active contour algorithm / Transmission microscopy / Dense yeast populations
Keywords (GND)Zellfraktionierung / Durchstrahlungselektronenmikroskopie / Snake <Bildverarbeitung> / Online-Publikation
ISSN1433-0369
URNurn:nbn:at:at-ubg:3-307 Persistent Identifier (URN)
DOIdoi:10.1007/s00791-012-0178-8 
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 The work is publicly available
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An active-contour based algorithm for the automated segmentation of dense yeast populations on transmission microscopy images [4.04 mb]
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Abstract (English)

An image-processing pipeline for the automated segmentation of yeast cells in microscopy images is proposed. The method is suitable for the non-invasive detection of individual cells in transmission data which can be acquired simultaneously with fluorescence data. It moreover takes the varying quality and highly heterogeneous characteristics of cells in transmission images into account, is capable to process images with dense yeast populations and can be used to extract quantitative cell-based data from transmission/fluorescence image pairs. Applicability and performance of the method is evaluated on a data set of 523 different yeast deletion mutant strains.

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