SGER: Towards Automated Droplet Coordination in Digital Microfluidic Systems

SGER：迈向数字微流体系统中的自动化液滴协调

• 批准号: 0541224
• 负责人: Srinivas Akella
• 金额: --
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-15 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541224&HistoricalAwards=false
• 关键词: SGER; Towards; Automated; Droplet; Coordination

Digital microfluidics systems (DMFS) are a new class of "lab-on-a-chip" systems that can manipulate discrete droplets. This exploratory SGER project will develop algorithms for the design, simulation, and optimization of DMFS. These systems have the potential to perform complex biochemical analyses in real time at dramatically reduced costs. Their low energy requirements, small reagent volumes, and small size make them attractive for use in a wide variety of applications including medical diagnostics, clinical monitoring, and environmental monitoring. For example, such systems can be used as pathogen monitoring devices that sense and identify pathogenic organisms in the environment.The proposed project will establish the validity of the novel approach by developing specialized routing and scheduling algorithms for the coordination of droplets on a DMFS, by exploiting the structure of these problems. By developing models abstracted from the hardware and focusing on the algorithms, basic principles will be developed for designing array layouts and coordinating droplets that work across different hardware implementations. The developed droplet routing and scheduling algorithms can be directly used in software to control a DMFS. Further, they will ultimately lead to high-level CAD tools to design and simulate DMFS.This research will extend robot coordination techniques to biotechnology applications. The proposed research will involve graduate students in research, and will be integrated into a Robot Motion Planning course taught by the PI. Outreach activities include plans to enhance summer robotics camps with The Children's Museum of Science and Technology in Troy.

数字微流体系统（DMFS）是一种新型的“芯片实验室”系统，它可以操纵离散的液滴。这个探索性的SGER项目将为DMFS的设计、模拟和优化开发算法。这些系统具有实时执行复杂生化分析的潜力，成本大大降低。它们的低能量需求、小试剂体积和小尺寸使它们在各种应用中具有吸引力，包括医疗诊断、临床监测和环境监测。例如，这种系统可以用作感知和识别环境中的病原生物的病原体监测装置。提议的项目将通过开发专门的路由和调度算法来确定新方法的有效性，通过利用这些问题的结构来协调DMFS上的液滴。通过开发从硬件抽象的模型并关注算法，将开发用于设计阵列布局和协调跨不同硬件实现工作的液滴的基本原则。所开发的液滴路由和调度算法可以直接在软件中用于控制DMFS。此外，它们最终将导致高级CAD工具来设计和模拟DMFS。这项研究将把机器人协调技术扩展到生物技术的应用。提议的研究将涉及研究生的研究，并将整合到PI教授的机器人运动规划课程中。拓展活动包括计划与特洛伊儿童科学技术博物馆加强夏季机器人营地。