|Author:||Chan, Cheok-man Andy|
|Title:||Development of a cost-effective image analysis system and its applications in electrophoretic separations|
|Subject:||Electrophoresis -- Data processing|
Gel electrophoresis -- Data processing
Hong Kong Polytechnic University -- Dissertations
|Department:||Department of Applied Biology and Chemical Technology|
|Pages:||xv, 94 leaves : ill. (some col.) ; 30 cm|
|Abstract:||Owing to the rapid advancement in microelectronics, image analysis is now widely applied to the fields of sciences, industry and medical treatment. In this research, image analysis was applied to study and to enhance separation techniques in chemical and biochemical studies. Two-dimensional crossed immunoelectrophoresis (2D-CIEP) is a technique widely used for studying composition of protein mixtures in biological and clinical studies. A low cost image analysis system with the use of an optical flat-bed scanner and an IBM-compatible PC was set up in this work for capturing 2D-CIEP patterns. A computer package CIEPEASY was developed for modification and analysis of the acquired image to determine important peak parameters such as the migration distance, peak height and peak area of the constituting components for both qualitative and quantitative studies. In this approach, more composition information of the standard and sample patterns could be extracted from the proposed image analysis system. In addition, the running cost of data analysis is low compared to conventional methods. The time required for data collection and interpretation of 2D-CIEP images was shortened significantly and the results obtained have a higher accuracy than those obtained by using conventional methods. Moreover, a linear relationship between the peak area and the amount of antigen present in a sample was confirmed accurately and reported for the first time in the literature. The developed system was applied to study abnormal 2D-CIEP patterns of prothrombin in patients with lupus anticoagulant. It was found that patients with a previous history of thrombosis showed significantly reduced peak heights. Further investigations are required to verify whether this difference is an indication of an increased of thrombosis. Deoxyribonucleic acid (DNA) fingerprinting for personal identification is a powerful tool for criminal investigation for judgment in forensic science. In this research, proposed image analysis system with the developed software package DNAEASY were utilized to enhance DAN fingerprinting analysis in silver stained electrophoretograms. Matching of the DNA alleles of the suspect and the reference standard is able to perform automatically. Intensities of alletes can be acquired for improving the judgments of stutter and sex identification function was provided. By comparing with the conventional visual inspection method, more objective judgments can be obtained.|
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