| Summary: | 碩士 === 臺中技術學院 === 資訊科技與應用研究所 === 98 === Proteomics, the study on proteins, was first introduced in 1995 by V. Wasinger. Techniques developed, thereafter, for the study of proteins can effectively analyze and identify the various types of protein in very short time. These resulted in increase protein researches using these techniques to study normal and diseased tissue organization; pathogenic and non-pathogenic bacteria; before and after treatment; and protein changes within cells. Proteomics is gradually becoming widely applied in bioinformatics, disease diagnosis and drug therapy design.
Currently, the 2DGE image is a popularly used method in the medical community for studying proteins via the electrophoresis separation of proteins. After electrophoresis the protein spots are distributed on a gel. The amount of proteins on the gel is different and their color gradient dependent on the staining. The photographed proteins of the 2DGE images are also dependent on image resolution and brightness contrast settings (controlled by shutter exposures). An inaccurate image could sometimes cause wrong disease diagnostic and also wrong administration of drugs to a patient.
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The High Dynamic Range (HDR) is a technique that renders images photographed in different exposures. This technique ensures the detailed information of an image by rendering images taken at different exposures so that details from different contrastive can preserved in the resulting image. In the proposed research, this concept is applied to the 2DGE images photographed in different brightness at different exposures so that all details on the protein information are retained. Therefore the need to store the different resolution images is important and essential. Currently, the two classes of commonly used lossless compression methods can be distinguished as compression software tools and image compression methods. Compression software tools include WINRAR, WINZIP, 7-ZIP and more. On the other hand, image compression methods include JPEG2000, JPEG-LS, GIF and more. In the paper, we proposed using the Jpeg-LS compression method with its low complexity and high compression efficiency and integrated it with HDR; the improved propose method is called the HDR JPEG-LS compression method. With HDR JPEG-LS, we can effectively increased compression rate and to retain more protein information that is essential for accurate medical diagnostics. Furthermore, the technique can be used to project images for a different exposure based on existent images to study for possible missing protein details to ensure accurate diagnostics.
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