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http://dx.doi.org/10.3745/KTSDE.2016.5.6.267

Development of HCS(High Contents Screening) Software Using Open Source Library  

Na, Ye Ji (순천향대학교 의료IT공학과)
Ho, Jong Gab (순천향대학교 의료IT공학과)
Lee, Sang Joon (선문대학교 기계ICT융합공학부)
Min, Se Dong (순천향대학교 의료IT공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.6, 2016 , pp. 267-272 More about this Journal
Abstract
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%.
Keywords
Cell Segmentation; Cell Cycle; Cell Counting; Bio-Image Automated Analysis;
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