Paper
28 May 2003 Estimation of population effects in synchronized budding yeast experiments
Antti Niemistoe, Tommi Aho, Henna Thesleff, Mikko Tiainen, Kalle Marjanen, Marja-Leena Linne, Olli P. Yli-Harja
Author Affiliations +
Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.477711
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antti Niemistoe, Tommi Aho, Henna Thesleff, Mikko Tiainen, Kalle Marjanen, Marja-Leena Linne, and Olli P. Yli-Harja "Estimation of population effects in synchronized budding yeast experiments", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.477711
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Cited by 8 scholarly publications.
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KEYWORDS
Yeast

Image segmentation

Image processing

Statistical analysis

Convolution

Microscopes

Biological research

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