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High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles by Fuhai Li; Xiaobo Zhou; Jinmin Zhu; Jinwen Ma; Xudong Huang; Stephen TC Wong is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles about?
## Background High content screening (HCS)-based image analysis is becoming an important and widely used research tool. Capitalizing this technology, ample cellular information can be extracted from the high content cellular images. In this study, an automated, reliable and quantitative cellular image analysis system developed in house has been employed to quantify the toxic responses of human H4 neuroglioma cells exposed to metal oxide nanoparticles. This system has been proved to be an essential tool in our study. ## Results The cellular images of H4 neuroglioma cells exposed to different concentrations of CuO nanoparticles were sampled using IN Cell Analyzer 1000. A fully automated cellular image analysis system has been developed to perform the image analysis for cell viability. A multiple adaptive thresholding method was used to classify the pixels of the nuclei image into three classes: bright nuclei, dark nuclei, and background. During the development of our image analysis methodology, we have achieved the followings: (1) The Gaussian filtering with proper scale has been applied to the cellular images for generation of a local intensity maximum inside each nucleus; (2) a nov
Who reads High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Fuhai Li; Xiaobo Zhou; Jinmin Zhu; Jinwen Ma; Xudong Huang; Stephen TC Wong
- Publisher
- BioMed Central; Springer (Biomed Central Ltd.); [London]: BioMed Central, 2001-; Springer Science and Business Media LLC (ISSN 1472-6750)
- Published
- 2007
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)
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