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As an effort to build an automated and objective system for pathologic image analysis, we present, in this paper, a computerized image processing method for identifying nuclei, a basic biological unit of diagnostic utility, in microscopy images of glioma tissue samples. The complete analysis includes multiple processing steps, involving mode detection with color and spatial information for pixel clustering,...
In this study we developed a new automatic quantification method to count the number of targeted fluorescently labeled molecules of in-vitro rat brain tissue images. NG2+ glial cells were monitored in order to detect their proliferation to their same kind of cells or to another astrocyte cells using different fluorescently labeled molecules. The method is based on morphological segmentation followed...
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