Fully-automated analysis of multi-resolution four-channel microarray genotyping data - art. no. 61443M

TitleFully-automated analysis of multi-resolution four-channel microarray genotyping data - art. no. 61443M
Publication TypeJournal Article
Year of Publication2006
AuthorsAbbaspour, M., R. Abugharbieh, M. Podder, and S. J. Tebbutt
Secondary AuthorsReinhardt, J. M., and J. P. W. Pluim
JournalMedical Imaging 2006: Image Processing, Pts 1-3
Volume6144
PaginationM1443–M1443
ISSN0277-786X
Abstract

We present a fully-automated and robust microarray image analysis system for handling multi-resolution images (down to 3-micron with sizes up to 80 MBs per channel). The system is developed to provide rapid and accurate data extraction for our recently developed microarray analysis and quality control tool (SNP Chart). Currently available commercial microarray image analysis applications are inefficient, due to the considerable user interaction typically required. Four-channel DNA microarray technology is a robust and accurate tool for determining genotypes of multiple genetic markers in individuals. It plays an important role in the state of the art trend where traditional medical treatments are to be replaced by personalized genetic medicine, i.e. individualized therapy based on the patient's genetic heritage. However, fast, robust, and precise image processing tools are required for the prospective practical use of microarray-based genetic testing for predicting disease susceptibilities and drug effects in clinical practice, which require a turn-around timeline compatible with clinical decision-making. In this paper we have developed a fully-automated image analysis platform for the rapid investigation of hundreds of genetic variations across multiple genes. Validation tests indicate very high accuracy levels for genotyping results. Our method achieves a significant reduction in analysis time, from several hours to just a few minutes, and is completely automated requiring no manual interaction or guidance.

URLhttp://dx.doi.org/10.1117/12.650814
DOI10.1117/12.650814

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