Statistics – Applications
Scientific paper
Oct 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3164..302b&link_type=abstract
Proc. SPIE Vol. 3164, p. 302-313, Applications of Digital Image Processing XX, Andrew G. Tescher; Ed.
Statistics
Applications
Scientific paper
One important field of interest in medicine and biology is the evaluation of DNA repair and cellular DNA damage after physical or chemical treatment. Manual analysis has some disadvantages such as a decrease in recognition ability during the time consuming observations as well as a requirement of experts for microscopic investigations. Therefore, automatic inspection and recognition of biological structures in several applications such as fluorescence in situ hybridization (FISH), fluorescence immuno-assays, comet-assay, chromosome karyotyping and micronucleus assay have been considerably advanced in the last decade. This presentation will give an overview of the image analysis and pattern recognition methods employed in different automated cell inspection systems which have been developed in our institute during the last years. Depending on the kind of assay, different experimental setups must be used in order to extract the respective measurement quantities. For example FISH technique requires a very sensitive fluorescence microscope combined with an image intensified target or time integrating camera. The major algorithms for image preprocessing and image segmentation based on mathematical morphology are briefly introduced. Feature classification is carried out with different methods.
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