Robust classification of DNA damage patterns in single cell gel electrophoresis

Single cell gel electrophoresis, also known as comet assay, has been widely used for assessing the effect of genotoxicity and detecting DNA damage of individual eukaryotic cells. There exist established imaging techniques for cometassay analysis, but these platforms have limitations such as required user interventions, low throughput, and weakness to noise caused by incomplete dyeing of fluorescent materials and other experimental errors. To resolve these, we propose a novel procedure for analyzing comet assay images, which considers various DNA damage patterns and classifies them in a robust manner. We tested our approach with twenty golden data sets containing over 300 comets and achieved satisfactory classification accuracy.

[1]  P. Olive,et al.  The comet assay: a comprehensive review. , 1995, Mutation research.

[2]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Horst Bunke,et al.  Edge Detection in Range Images Based on Scan Line Approximation , 1999, Comput. Vis. Image Underst..

[4]  A. Collins,et al.  The comet assay for DNA damage and repair , 2004, Molecular biotechnology.

[5]  A. Vlahou,et al.  Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data , 2003, Journal of biomedicine & biotechnology.

[6]  King-Sun Fu,et al.  A survey on image segmentation , 1981, Pattern Recognit..

[7]  J. Hoeijmakers DNA damage, aging, and cancer. , 2009, The New England journal of medicine.

[8]  B. Hellman,et al.  The concepts of tail moment and tail inertia in the single cell gel electrophoresis assay. , 1995, Mutation research.

[9]  Eli Saber,et al.  Survey of contemporary trends in color image segmentation , 2012, J. Electronic Imaging.

[10]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..