Title :
Image analysis platform for yeast biologists
Author :
Tleis, Mohamed ; Anemaet, Ginny ; van Heusden, Paul ; Verbeek, Fons
Author_Institution :
LIACS, Leiden Univ., Leiden, Netherlands
Abstract :
The yeast Saccharomyces cerevisiae is used to understand gene expression and genetic networks. To study the levels and localization of individual proteins, tagging with fluorescent proteins like GFP is widely used. An important issue is quantification of the fluorescent signal in microscopic images. In addition to microscopy, Image Analysis has developed as an established complement allowing routine quantification of microscopic observations. Gene expression is visualized by microscopy through specific fluorescence, hence image analysis was probed to accomplish further progress. This research promotes a yeast analysis platform that assists yeast molecular biologists in analysing their experiments. The major components of the platform are options to segment yeast images, measure chosen features and generating statistical reports of the measurements. This system is currently used to quantify microscopic images. More options to segment cells at different stages of the cell cycle and choosing an automatic segmentation method based on a ground-truth image, are marked as our future work.
Keywords :
biology computing; genetics; image segmentation; microorganisms; molecular biophysics; proteins; Saccharomyces cerevisiae; automatic segmentation method; fluorescent proteins; gene expression; genetic networks; ground-truth image; image analysis platform; microscopic image; specific fluorescence microscopy; yeast biologists; yeast image segmentation; yeast molecular biologist; Biology; Data visualization; Extraterrestrial measurements; Geologic measurements; Image analysis; Image segmentation; Microscopy;
Conference_Titel :
Advances in Biomedical Engineering (ICABME), 2013 2nd International Conference on
Conference_Location :
Tripoli
Print_ISBN :
978-1-4799-0249-1
DOI :
10.1109/ICABME.2013.6648858