ITR: Automated Design of Very Large Scale Integrated Biofluidic Chips

ITR：超大规模集成生物流控芯片的自动化设计

• 批准号: 0325344
• 负责人: Tamal Mukherjee
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-11-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325344&HistoricalAwards=false
• 关键词: ITR; Automated; Design; Very; Large

The advent of large scale integrated (LSI) circuits in the 70s set the foundations for today's information technologies. Similarly, recent advances in the monolithic integration of biochemical fluid-based processing technologies is likely to lead to the development of tomorrow's advances in biotechnology and medicine. As with integrated circuits, such very large scale integrated biofluidic chips (VLSIBC) will need software tools to acquire design specifications, investigate the applicability of alternative design architectures, and then automatically design a target chip. Furthermore, tools for quantitatively predicting and optimizing the chip's performance will be needed.This cross-disciplinary project involving investigators from four departments at Carnegie Mellon and one at the University of Illinois is developing algorithms, languages, models and methodologies for the design of biofluidic chips. The envisoned automated design and verification capabilities will be able to handle the tremendous growth in biofluidic design complexity arising from microfluidic integration and will shorten the current design-fabricate-test loop to reduce the lead time and make biofluidic processors commercially viable.

70年代大规模集成（LSI）电路的出现为今天的信息技术奠定了基础。同样，最近在基于生物化学流体的处理技术的整体集成方面的进展可能会导致明天生物技术和医学的发展。与集成电路一样，这种超大规模集成生物流体芯片（VLSIBC）将需要软件工具来获取设计规范，研究替代设计架构的适用性，然后自动设计目标芯片。此外，还需要定量预测和优化芯片性能的工具。这项跨学科项目涉及卡内基梅隆大学四个部门和伊利诺伊大学一个部门的研究人员，正在开发用于设计生物流体芯片的算法、语言、模型和方法。设想的自动化设计和验证能力将能够处理由微流体集成引起的生物流体设计复杂性的巨大增长，并将缩短当前的设计-制造-测试循环，以减少交付时间并使生物流体处理器在商业上可行。