Title :
Extraction of the Number of Peroxisomes in Yeast Cells by Automated Image Analysis
Author :
Niemisto, Antti ; Selinummi, Jyrki ; Saleem, Ramsey ; Shmulevich, Ilya ; Aitchison, John ; Harja, Olli Yli
Author_Institution :
Inst. of Signal Process., Tampere Univ. of Technol.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
An automated image analysis method for extracting the number of peroxisomes in yeast cells is presented. Two images of the cell population are required for the method: a bright field microscope image from which the yeast cells are detected and the respective fluorescent image from which the number of peroxisomes in each cell is found. The segmentation of the cells is based on clustering the local mean-variance space. The watershed transformation is thereafter employed to separate cells that are clustered together. The peroxisomes are detected by thresholding the fluorescent image. The method is tested with several images of a budding yeast Saccharomyces cerevisiae population, and the results are compared with manually obtained results
Keywords :
biology computing; cellular biophysics; feature extraction; genetics; image segmentation; microorganisms; pattern clustering; Saccharomyces cerevisiae; automated image analysis; biogenesis; bright field microscope image; budding yeast; cell population; fluorescent image; image segmentation; local mean-variance space clustering; peroxisome extraction; watershed transformation; yeast cell; Capacitive sensors; Cells (biology); Fluorescence; Fungi; Image analysis; Image segmentation; Image sequence analysis; Microscopy; Morphology; USA Councils; Yeast; image analysis; peroxisome biogenesis; quantification; segmentation; watershed transformation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259890
