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Proceedings Paper

Estimation of population effects in synchronized budding yeast experiments
Author(s): Antti Niemistoe; Tommi Aho; Henna Thesleff; Mikko Tiainen; Kalle Marjanen; Marja-Leena Linne; Olli P. Yli-Harja
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Paper Abstract

An approach for estimating the distribution of a synchronized budding yeast (Saccharomyces cerevisiae) cell population is discussed. This involves estimation of the phase of the cell cycle for each cell. The approach is based on counting the number of buds of different sizes in budding yeast images. An image processing procedure is presented for the bud-counting task. The procedure employs clustering of the local mean-variance space for segmentation of the images. The subsequent bud-detection step is based on an object separation method which utilizes the chain code representation of objects as well as labeling of connected components. The procedure is tested with microscopic images that were obtained in a time-series experiment of a synchronized budding yeast cell population. The use of the distribution estimate of the cell population for inverse filtering of signals that are obtained in time-series microarray measurements is discussed as well.

Paper Details

Date Published: 28 May 2003
PDF: 12 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.477711
Show Author Affiliations
Antti Niemistoe, Tampere Univ. of Technology (Finland)
Tommi Aho, Tampere Univ. of Technology (Finland)
MediCel Ltd. (Finland)
Henna Thesleff, MediCel Ltd. (Finland)
Mikko Tiainen, MediCel Ltd. (Finland)
Kalle Marjanen, Tampere Univ. of Technology (Finland)
Marja-Leena Linne, Tampere Univ. of Technology (Finland)
Olli P. Yli-Harja, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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