New Techniques for Microarray Fabrication and Analysis

微阵列制造和分析新技术

• 批准号: 6582468
• 负责人: Frank Wang
• 金额: $ 10万
• 依托单位: BIOMACHINES, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6582468
• 关键词: bioengineering /biomedical engineering; biomedical automation; computer data analysis; computer program /software; computer system design /evaluation; high throughput technology; image processing; informatics; microarray technology; technology /technique development

DESCRIPTION (provided by applicant): Current microarray techniques are subject to inherent variability directly related to the inability of array deposition systems to accurately identify and record the location of arrayed materials and to communicate this information to follow-on systems for use in post-deposition array processing, readout and analysis. The inability to easily identify, record and communicate the accurate location of arrayed materials and any spatial distortions introduced in arrayed materials during post-deposition processing are barriers to automation and integration of array production, processing and analysis. In this SBIR Phase I proposal, Biomachines proposes innovative techniques to incorporate geometric features as "fiducial marks" on microarray and biochip substrates to provide common measurable points for all steps in fabrication, processing and analysis. The use of fiducial marks as fixed reference points will enable a device (e.g., arrayer, imager) to automatically, accurately and repeatedly: align and orient substrates, deposit materials on substrates at pre-determined locations (i.e., "targeting") and identify the location and orientation of materials previously deposited on substrates. BioMachines goal is to automate the entire microarray data extraction process, simplifying analysis software, speeding data production and significantly reducing the variability encountered microarray studies. Under Phase I funding, BioMachines will modify our existing vision guided precision placement platform, including software, to use our proposed fiducial mark technology and will demonstrate the capabilities. BioMachines fiducial mark technology will have broad applications in genomics, proteomics, bioinformatics, biochips, biosensors, cytology and other applications where there is a requirement for repeatedly locating or performing actions on features sized below a few hundred microns.

描述（由申请人提供）：当前的微阵列技术存在固有的可变性，这些可变性与阵列沉积系统无法准确识别和记录阵列材料的位置以及将该信息传递给后续系统以用于沉积后阵列处理、读出和分析直接相关。无法轻松识别、记录和传达阵列材料的准确位置以及沉积后处理过程中阵列材料中引入的任何空间扭曲都是阵列生产、处理和分析的自动化和集成的障碍。在这项 SBIR 第一阶段提案中，Biomachines 提出了创新技术，将几何特征作为微阵列和生物芯片基底上的“基准标记”结合起来，为制造、加工和分析的所有步骤提供通用的可测量点。使用基准标记作为固定参考点将使设备（例如阵列仪、成像仪）能够自动、准确和重复地：对准和定向基底、将材料沉积在基底上的预定位置（即“瞄准”）以及识别先前沉积在基底上的材料的位置和方向。 BioMachines 的目标是自动化整个微阵列数据提取过程，简化分析软件，加速数据生成并显着减少微阵列研究中遇到的变异性。在第一阶段的资助下，BioMachines 将修改我们现有的视觉引导精密放置平台，包括软件，以使用我们提出的基准标记技术，并将展示其功能。 BioMachines 基准标记技术将在基因组学、蛋白质组学、生物信息学、生物芯片、生物传感器、细胞学和其他需要对尺寸低于几百微米的特征进行重复定位或执行操作的应用中具有广泛的应用。