AUTOMATED PC-BASED SPOT DETECTION FOR 2D GEL ANALYSIS

用于 2D 凝胶分析的基于 PC 的自动化点检测

• 批准号: 2536786
• 负责人: GAYLE K CHRISTOPHER
• 金额: $ 10万
• 依托单位: DIVERSIFIED SCIENTIFIC, INC.
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-02-01 至 1998-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2536786
• 关键词: artificial intelligence; biomedical automation; charge coupled device camera; computer data analysis; computer program /software; computer system design /evaluation; computer system hardware; gel electrophoresis; image processing; isoelectric point; molecular weight

Two-dimensional polyacrylamide gel electrophoresis (2DGE) can detect thousands of polypeptides, separating them by apparent molecular weight and isoelectric point. It provides a more realistic and global review of cellular genetic expression than any other technique. Computer 2DGE analysis software for a variety of platforms has been developed to deal with what can easily be an unwieldy data management problem. However, these programs require significant user input for gel matching and do not adequately correct for routine gel-to-gel distortions. The best approach for gel matching and spot detection is pixel matching from one gel to another. This procedure is computationally demanding and is currently limited to high-end workstations costing 80,000 dollars and above. This Phase I effort proposes to utilize a pixel matching algorithm and integrate an enhanced image processor that will fully automate spot detection for a PC-based system. This system will perform at the level of the expensive workstations but cost 40-50 percent less. Phase I goals include hardware integration of a new image processor PC card into a Pentium class computer, software development for pixel matching of reference to study gel and preliminary testing of the software to meet expected benchmark processing speeds for 2D plasma protein maps. Full automation and increased performance in a PC-based product will facilitate the use of 2DGE in the clinical setting and in proteome research where the focus is on understanding the order, regulation, and coordination of the human genome. PROPOSED COMMERCIAL APPLICATION The proposed project will result in a PC-based system capable of fully automated spot detection for 2D gel analysis. The algorithm used will correct for gel-to-gel variations without significant user input. This affordable system will speed up 2D gel analysis and will allow for wider clinical use of this valuable analytical technique.

二维聚丙烯酰胺凝胶电泳（2DGE）可以检测到 成千上万的多肽，通过明显的分子量将它们分开 和等电点。 它提供了更现实和全球的评论 细胞遗传表达的比其他任何技术。 计算机2DGE 已经开发了用于处理各种平台的分析软件 有可能很容易成为一个笨拙的数据管理问题。 然而， 这些程序需要大量的用户输入凝胶匹配并执行 对于常规的凝胶 - 凝胶畸变，无法充分正确。 最好的 凝胶匹配和斑点检测的方法是一个像素匹配。 凝胶到另一个。 此过程在计算要求上是 目前仅限于高端工作站，耗资80,000美元， 多于。 I阶段我的努力提议使用像素匹配 算法并集成了一个增强的图像处理器，该处理器将完全 自动化基于PC的系统的斑点检测。 该系统将执行 在昂贵的工作站的水平上，但成本降低了40-50％。 I阶段目标包括新图像处理器PC的硬件集成 卡入奔腾类计算机，像素的软件开发 参考研究凝胶和初步测试的参考 满足2D等离子体的预期基准处理速度的软件 蛋白质图。 完全自动化和基于PC的性能提高 产品将促进在临床环境中和在 蛋白质组研究的重点是理解顺序， 人类基因组的调节和协调。 拟议的商业应用 拟议的项目将导致基于PC的系统能够完全 自动斑点检测用于2D凝胶分析。 使用的算法将 在没有大量用户输入的情况下，纠正凝胶到凝胶变化。 这 负担得起的系统将加快2D凝胶分析，并允许更广泛 这种有价值的分析技术的临床使用。