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）可检测 数千种多肽，通过表观分子量将它们分开 and isoelectric point. 它提供了更现实和全球性的审查 细胞基因表达的效果优于任何其他技术。 Computer 2DGE 开发了适用于多种平台的分析软件来应对 这很容易成为一个难以处理的数据管理问题。 然而， 这些程序需要大量的用户输入来进行凝胶匹配，并且 不能充分纠正常规凝胶间的扭曲。 最好的 凝胶匹配和点检测的方法是像素匹配 gel to another. 该过程的计算要求较高，并且 目前仅限于售价 80,000 美元的高端工作站， 多于。 第一阶段的工作建议利用像素匹配 算法并集成增强型图像处理器，可充分 基于 PC 的系统自动进行点检测。 This system will perform 与昂贵工作站的水平相当，但成本却低 40-50%。 第一阶段的目标包括新图像处理器 PC 的硬件集成 卡插入奔腾级计算机，像素软件开发 参考与研究凝胶的匹配和初步测试 满足 2D 等离子体预期基准处理速度的软件 protein maps. 基于 PC 的完全自动化和更高的性能 产品将促进 2DGE 在临床环境中的使用 蛋白质组研究的重点是理解顺序， 人类基因组的调控和协调。 拟议的商业应用 拟议的项目将产生一个基于 PC 的系统，能够完全 用于二维凝胶分析的自动点检测。 The algorithm used will 无需大量用户输入即可纠正凝胶之间的变化。 这 经济实惠的系统将加速 2D 凝胶分析，并允许更广泛的分析 这种有价值的分析技术的临床应用。