Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54419
Title: Automatic detection of yeast and pseudohyphal form cells in the human pathogen candida glabrata
Authors: Luis Frazao
Rui Santos
Miguel Cacho Teixeira
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
Keywords: Computer Science
Mathematics
Issue Date: 1-Jan-2015
Abstract: © Springer International Publishing Switzerland 2015. The morphological switching shown by Candida glabrata between oval-shaped budding yeast cells and elongated pseudohyphal growth structures has been found to be related to its ability to undergo invasive growth, and thus, predicted to affect virulence. Therefore, the morphological analysis of C. glabrata cell cultures is a procedure of clinical relevance. In the present study, a pioneering algorithm was developed to automatically detect both yeast and pseudohyphal form structures from a database of 82 phase contrast microscopy images of C. glabrata cell cultures. The algorithm produced robust results, despite some limitations in the quality of the images, having detected correctly 84.56 % and 51.94 % of the yeast form cells and pseudohyphal structures, respectively. Future work should focus on improving these results by incorporating the analysis of cell nuclei or septa positions, extracted from fluorescence images.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84983609842&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54419
ISSN: 16113349
03029743
Appears in Collections:CMUL: Journal Articles

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