NDLI: Gaussian mixture models for spots in microscopy using a new split/merge em algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kangyu Pan Kokaram, A. Hillebrand, J. Ramaswami, M.
Copyright Year	2010
Description	Author affiliation: Trinity College Dublin, Department of Electronic and Electrical Engineering, Dublin-2, Ireland (Kangyu Pan; Kokaram, A.) \|\| Trinity College Dublin, Institute for Neuroscience, Dublin-2, Ireland (Hillebrand, J.; Ramaswami, M.)
Abstract	In confocal microscopy imaging, target objects are labeled with fluorescent markers in the living specimen, and usually appear as spots in the observed images. Spot detection and analysis is therefore an important task but it is still heavily reliant on manual analysis. In this paper, a novel shape modeling algorithm is proposed for automating the detection and analysis of the spots of interest. The algorithm exploits a Gaussian mixture model to characterize the spatial intensity distribution of the spots, and estimates parameters using a novel split-and-merge expectation maximization (SMEM) algorithm. In previous work the split step is random which is an issue for biological analysis where repeatability is important. The new split/merge steps are deterministic, hence more useful, and further do not impact adversely on the optimality of the final result.
Starting Page	3645
Ending Page	3648
File Size	753368
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5652472
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Proteins Artificial neural networks Pixel Estimation Brightness Microscopy shape modeling Gaussian mixture model split-and-merge EM algorithm spot analysis mRNA
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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