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Titel
An active-contour based algorithm for the automated segmentation of dense yeast populations on transmission microscopy images
VerfasserBredies, Kristian ; Wolinski, Heimo
Erschienen in
Computing and visualization in science, Berlin ; Heidelberg : Springer, 1.1997 - 6.2013; 17.2015 -, Jg. 14, H. 7, S. 341-352
ErschienenSpringer
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)Cell segmentation / Active contour algorithm / Transmission microscopy / Dense yeast populations
Schlagwörter (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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An active-contour based algorithm for the automated segmentation of dense yeast populations on transmission microscopy images [4.04 mb]
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Zusammenfassung (Englisch)

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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