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The term molecular imaging can be broadly defined as the in vivo characterization and measurement of biologic processes at the cellular and molecular level. Optical imaging that has highly reproducibility and repetition used in molecular imaging research. in the bioluminescence imaging, animals currying the luciferase gene arc imaged with a cooled CCD(Charge-Coupled Device) camera to pick up the small number of photons transmitted through tissues. Molecular imaging analysis will allow us to observe the incipience and progression of the disease, But hardware device for molecular imaging and software for molecular image analysis were dependent on imports. In this paper, we suggest image processing methods and designed software tor bioluminescence signal analysis, And we demonstrated high correlation(r=0.99) between our software's photon counts and commercial software's photon counts. ROI function and processing functions were accomplished without error. This stud,' have the importance of the development software for bioluminescence image processing and analysis. And this study built the foundations for creative development of analysis methods. We expected this study lead the development of image technology.

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ABSTRACT
1. INTRODUCTION
2. MATERIALS AND METHODS
3. IMPLEMENTED SOFTWARE AND RESULT DATA
4. CONCLUSIONS
5. REFERENCE

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UCI(KEPA) : I410-ECN-0101-2012-004-004448067