在醫療及生物科技的研究領域中,蛋白質體學的研究目的,是要求得基因與疾病之間的關聯。而在蛋白質體學的科技裡,二維凝膠電泳 (2-Dimensional Gel Electrophoresis) 是個重要的技術。早期二維凝膠電泳影像,僅使用單一解析度、單一明亮度的影像進行處理。然而,影像使用不同明亮度、不同解析度來儲存,彼此之間儲存的資訊將有所差異。本研究是希望把擁有多個明亮度、多個解析度資訊的技術——高動態範圍及解析度影像 (High Dynamic Range and Resolution Image),應用在二維凝膠電泳影像的影像前處理步驟,將多個明亮度、多個解析度的影像群壓縮成一個檔案,除了可方便實驗影像的管理,亦可在二維凝膠電泳影像的蛋白質區域偵測及比對時,同時將多個明亮度、多個解析度的影像納入偵測及比對的範圍內。實驗結果中可以看到,高動態範圍及解析度影像的壓縮率可達到原始影像的6%;而由於具有多個解析度、多個明亮度的資訊,於蛋白質區域偵測時,能夠偵測出更多的蛋白質區域。本研究能將二維凝膠電泳的實驗結果更完整的儲存,有助於微量蛋白的再現性。
In medical science and biotechnology, proteomics involves the study of the relationships between genes and diseases. 2-Dimensional Gel Electrophoresis (2-DGE) is an important technique used in the research. Traditionally, 2-DGE images were saved as single resolution and single brightness files. There were differences of information between images in different brightness or different resolutions. This paper hopes to apply pre-processing of 2-DGE images based on High Dynamic Range and Resolution Image (HDRRI) to save multiple brightness and multiple resolutions images in a file. The proposed method is not only convenient to manage experimental images but also integrated multiple brightness and resolutions images to detect and compare protein spots. Experimental results showed the compressed ratio of HDRRI is just about 6% of raw data. The proposed method also detected more protein spots by using images with multiple brightness and multiple resolutions contents. The proposed method can store results of 2-DGE images comprehensively and more protein spots may be detected.