Paper Info
Title
Automatic Detection of Yeast and Pseudohyphal Form Cells in the Human Pathogen Candida Glabrata.
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-22053-6_69
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, ICIC 2015, PT III
Keywords
Field
DocType
Cell detection,Candida glabrata,Pseudohyphae,Yeast form cells
Cell culture,Pseudohyphal growth,Budding,Pattern recognition,Candida glabrata,Cell biology,Yeast,Hypha,Cell,Artificial intelligence,Virulence,Mathematics
Conference
Volume
ISSN
Citations 
9227
0302-9743
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Luis Frazao100.68
Rui Santos2111.48
Miguel Cacho Teixeira3301.76
Nipon Theera-umpon418430.59
S. Auephanwiriyakul524639.45