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Development of HCS(High Contents Screening) Software Using Open Source Library
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 Title & Authors
Development of HCS(High Contents Screening) Software Using Open Source Library
Na, Ye Ji; Ho, Jong Gab; Lee, Sang Joon; Min, Se Dong;
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Microscope cell image is an important indicator for obtaining the biological information in a bio-informatics fields. Since human observers have been examining the cell image with microscope, a lot of time and high concentration are required to analyze cell images. Furthermore, It is difficult for the human eye to quantify objectively features in cell images. In this study, we developed HCS algorithm for automatic analysis of cell image using an OpenCV library. HCS algorithm contains the cell image preprocessing, cell counting, cell cycle and mitotic index analysis algorithm. We used human cancer cell (MKN-28) obtained by the confocal laser microscope for image analysis. We compare the value of cell counting to imageJ and to a professional observer to evaluate our algorithm performance. The experimental results showed that the average accuracy of our algorithm is 99.7%.
Cell Segmentation;Cell Cycle;Cell Counting;Bio-Image Automated Analysis;
 Cited by
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