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Authors: Sharon Greenblum 1 ; Max Krucoff 1 ; Jacob Furst 2 and Daniela Raicu 2

Affiliations: 1 Northwestern University, United States ; 2 School of Computer Science, Telecommunications, and Information Systems, DePaul University, United States

Keyword(s): DNA Microarray, image analysis, noise, segmentation, gridding, quantification, addressing, indexing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Medical Image Analysis ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: A recent extension of DNA microarray technology has been its use in DNA fingerprinting. Our research involved developing an algorithm that automatically analyzes microarray images by extracting useful information while ignoring the large amounts of noise. Our data set consisted of slides generated from DNA strands of 24 different cultures of anthrax from isolated locations (all the same strain that differ only in origin-specific neutral mutations). The data set was provided by Argonne National Laboratories in Illinois. Here we present a fully automated method that classifies these isolates at least as well as the published AMIA (Automated Microarray Image Analysis) Toolbox for MATLAB with virtually no required user interaction or external information, greatly increasing efficiency of the image analysis.

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Paper citation in several formats:
Greenblum, S.; Krucoff, M.; Furst, J. and Raicu, D. (2007). AUTOMATED IMAGE ANALYSIS OF NOISY MICROARRAYS. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 371-375. DOI: 10.5220/0002038603710375

@conference{visapp07,
author={Sharon Greenblum. and Max Krucoff. and Jacob Furst. and Daniela Raicu.},
title={AUTOMATED IMAGE ANALYSIS OF NOISY MICROARRAYS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={371-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002038603710375},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - AUTOMATED IMAGE ANALYSIS OF NOISY MICROARRAYS
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Greenblum, S.
AU - Krucoff, M.
AU - Furst, J.
AU - Raicu, D.
PY - 2007
SP - 371
EP - 375
DO - 10.5220/0002038603710375
PB - SciTePress