CPS: Synergy: Collaborative Research:Cyber-physical digital microfluidics based on active matrix electrowetting technology: software-programmable high-density pixel arrays

CPS：协同：协作研究：基于有源矩阵电润湿技术的网络物理数字微流体：软件可编程高密度像素阵列

• 批准号: 1545097
• 负责人: Philip Brisk
• 金额: $ 35.28万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1545097&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Cyber

Laboratory-on-a-chip (LoC) technology is poised to improve global health through development of low-cost, automated point-of-care testing devices. In countries with few healthcare resources, clinics often have drugs to treat an illness, but lack diagnostic tools to identify patients who need them. To enable low-cost diagnostics with minimal laboratory support, this project will investigate domain-specific LoC programming language and compiler design in conjunction with device fabrication technologies (process flows, sensor integration, etc.). The project will culminate by building a working LoC that controls fluid motion through electronic signals supplied by a host PC; a forensic toxicology immunoassay will be programmed in software and executed on the device. This experiment will demonstrate benefits of programmable LoC technology including miniaturization (reduced reagent consumption), automation (reduced costs and uncertainties associated with human interaction), and general-purpose software-programmability (the device can execute a wide variety of biochemical reactions, all specified in software). Information necessary to reproduce the device, along with all software artifacts developed through this research effort, will be publicly disseminated. This will promote widespread usage of software-programmable LoC technology among researchers in the biological sciences, along with public and industrial sectors including healthcare and public health, biotechnology, water supply management, environmental toxicity monitoring, and many others.This project designs and implements a software-programmable cyber-physical laboratory-on-a-chip (LoC) that can execute a wide variety of biological protocols. By integrating sensors during fabrication, the LoC obtains the capability to send feedback in real-time to the PC controller, which can then make intelligent decisions regarding which biological operations to execute next. To bring this innovative and transformative platform to fruition, the project tackles several formidable research challenges: (1) cyber-physical LoC programming models and compiler design; (2) LoC fabrication, including process flows and cyber-physical sensor integration; and (3) LoC applications that rely on cyber-physical sensory feedback and real-time decision-making. By constructing a working prototype LoC, and programming a representative feedback-driven forensic toxicology immunoassay, the project demonstrates that the proposed system can automatically execute biochemical reactions that require a closed feedback loop. Expected broader impacts of the proposed work include reduced cost and increased reliability of clinical diagnostics, engagement with U.S. companies that use LoC technology, training of graduate and undergraduate students, increased engagement and retention efforts targeting women and underrepresented minorities, student-facilitated peer-instruction at UC Riverside, a summer residential program for underrepresented minority high-school students at the University of Tennessee, collaborations with researchers at the Oak Ridge National Laboratory, and creation, presentation, and dissemination of tutorial materials to promote the adoption and use of software-programmable LoCs among the wider scientific community.

芯片实验室（LoC）技术有望通过开发低成本、自动化的护理点检测设备来改善全球健康状况。在医疗资源匮乏的国家，诊所通常有治疗疾病的药物，但缺乏诊断工具来识别需要这些药物的患者。为了在最少的实验室支持下实现低成本诊断，该项目将研究特定领域的LoC编程语言和编译器设计，并结合设备制造技术（工艺流程、传感器集成等）。该项目最终将建立一个工作LoC，通过主机PC提供的电子信号控制流体运动；法医毒理学免疫分析将在软件中编程并在设备上执行。本实验将展示可编程LoC技术的优点，包括小型化（减少试剂消耗）、自动化（降低与人类交互相关的成本和不确定性）和通用软件可编程性（该设备可以执行各种各样的生化反应，所有这些反应都在软件中指定）。复制设备所需的信息，以及通过这项研究工作开发的所有软件工件，将被公开传播。这将促进软件可编程LoC技术在生物科学研究人员以及公共和工业部门（包括医疗保健和公共卫生、生物技术、供水管理、环境毒性监测和许多其他部门）中的广泛使用。该项目设计并实现了一个软件可编程的芯片上网络物理实验室（LoC），可以执行各种生物协议。通过在制造过程中集成传感器，LoC获得了实时向PC控制器发送反馈的能力，PC控制器随后可以就下一步执行哪些生物操作做出智能决策。为了实现这一创新和变革性的平台，该项目解决了几个艰巨的研究挑战：(1)网络物理LoC编程模型和编译器设计；(2) LoC制造，包括工艺流程和网络物理传感器集成；(3)基于网络物理感官反馈和实时决策的LoC应用。通过构建LoC工作原型，并编写具有代表性的反馈驱动法医毒理学免疫分析程序，该项目证明了所提出的系统可以自动执行需要闭环反馈的生化反应。拟议工作的预期更广泛的影响包括降低成本和提高临床诊断的可靠性，与使用LoC技术的美国公司合作，培训研究生和本科生，增加针对女性和代表性不足的少数民族的参与度和保留率，加州大学河滨分校的学生促进同伴指导，田纳西大学为代表性不足的少数民族高中生提供的夏季住宿项目。与橡树岭国家实验室的研究人员合作，创建、展示和传播教程材料，以促进在更广泛的科学界中采用和使用软件可编程的loc。

项目成果

A compiler for cyber-physical digital microfluidic biochips

网络物理数字微流控生物芯片编译器

• DOI: 10.1145/3168826
• 发表时间: 2018
• 期刊: Proceedings of the 2018 International Symposium on Code Generation and Optimization - CGO 2018
• 作者: Curtis, Christopher;Grissom, Daniel;Brisk, Philip
• 通讯作者: Brisk, Philip

ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals

ChemStor：使用正式方法保证化学品的安全存储和处置

• DOI: 10.1021/acs.jcim.9b00951
• 发表时间: 2020
• 期刊: Journal of Chemical Information and Modeling
• 影响因子: 5.6
• 作者: Ott, Jason;Tan, Daniel;Loveless, Tyson;Grover, William H.;Brisk, Philip
• 通讯作者: Brisk, Philip

Directed Placement for mVLSI Devices

• DOI: 10.1145/3369585
• 发表时间: 2020-04-01
• 期刊: ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS
• 影响因子: 2.2
• 作者: Crites, Brian;Kong, Karen;Brisk, Philip
• 通讯作者: Brisk, Philip

An FPGA-based Programmable Vector Engine for Fast Fully Homomorphic Encryption over the Torus

基于 FPGA 的可编程矢量引擎，用于环面上的快速全同态加密

• 发表时间: 2021
• 期刊: SPSL: Secure and Private Systems for Machine Learning (ISCA Workshop
• 作者: Gener, Serhan;Newton, Parker;Tan, Daniel;Richelson, Silas;Lemieux, Guy;Brisk, Philip
• 通讯作者: Brisk, Philip