A microfluidic biochip is an engineered fluidic device that controls the flow of analytes, thereby enabling a variety of useful applications. According to recent studies, the fields that are best set to benefit from the microfluidics technology, also known as lab-on-chip technology, include forensic identification, clinical chemistry, point-of-care (PoC) diagnostics, and drug discovery. The growth in such fields has significantly amplified the impact of microfluidics technology, whose market value is forecast to grow from $4 billion in 2017 to $13.2 billion by 2023. The rapid evolution of lab-on-chip technologies opens up opportunities for new biological or chemical science that can be directly facilitated by sensor-based microfluidics control. For example, the digital microfluidics-based ePlex system from GenMarkDx enables automated disease diagnosis and can bring syndromic testing near patients everywhere. However, as the applications of molecular biology grow, the adoption of microfluidics in many applications has not grown at the same pace, despite the concerted effort of microfluidic systems engineers. Recent studies suggest that state-of-the-art design techniques for microfluidics have two major drawbacks that need to be addressed appropriately: (1) current lab-on-chip systems were only optimized as auxiliary components and are only suitable for sample-limited analyses; therefore, their capabilities may not cope with the requirements of contemporary molecular biology applications; (2) the integrity of these automated lab-on-chip systems and their biochemical operations is still an open question, since no protection schemes were developed against adversarial contamination or result-manipulation attacks. This book provides solutions to these challenges by introducing a new design flow based on the realistic modeling of contemporary molecular biology protocols. It also presents a microfluidic security flow that provides a high-level of confidence in the integrity of such protocols. In summary, this book creates a new research field as it bridges the technical skills gap between microfluidic systems and molecular biology protocols but viewed from the perspective of an electronic/systems engineer.

Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms

Children's Books

Chakrabarty, Krishnendu

Ibrahim, Mohamed

Science, Nature & How It Works

CRC-Press

Digital Microfluidic Biochips focuses on the automated design and production of microfluidic-based biochips for large-scale bioassays and safety-critical applications. Bridging areas of electronic design automation with microfluidic biochip research, the authors present a system-level design automation framework that addresses key issues in the design, analysis, and testing of digital microfluidic biochips. The book describes a new generation of microfluidic biochips with more complex designs that offer dynamic reconfigurability, system scalability, system integration, and defect tolerance. Part I describes a unified design methodology that targets design optimization under resource constraints. Part II investigates cost-effective testing techniques for digital microfluidic biochips that include test resource optimization and fault detection while running normal bioassays. Part III focuses on different reconfiguration-based defect tolerance techniques designed to increase the yield and dependability of digital microfluidic biochips. 
Expanding upon results from ongoing research on CAD for biochips at Duke University, this book presents new design methodologies that address some of the limitations in current full-custom design techniques. Digital Microfluidic Biochips is an essential resource for achieving the integration of microfluidic components in the next generation of system-on-chip and system-in-package designs.

Digital Microfluidic Biochips: Synthesis, Testing, and Reconfiguration Techniques

Science & Math

Su, Fei

Biological Sciences

Digital Microfluidic Biochips: Design Automation and Optimization

Xu, Tao

Microfluidics-based biochips combine electronics with biochemistry, providing access to new application areas in a wide variety of fields. Continued technological innovations are essential to assuring the future role of these chips in functional diversification in biotech, pharmaceuticals, and other industries. Revolutionary guidance on design, optimization, and testing of low-cost, disposable biochips Microfluidic Biochips: Design Automation and Optimization comprehensively covers the appropriate design tools and in-system automation methods that will help users adapt to new technology and progress in chip design and manufacturing. Based on results from several Duke University research projects on design automation for biochips, this book uses real-life bioassays as examples to lay out an automated design flow for creating microfluidic biochips. It also develops solutions to the unique problems associated with that process. Highlights the design of the protein crystallization chip to illustrate the benefits of automated design flow In addition to covering automated design, the authors provide a detailed methodology for the testing, use, and optimization of robust, cost-efficient, manufacturable digital microfluidic systems used in protein crystallization and other areas. The invaluable tools and practices presented here will help readers to: <ul>
<li>Address optimization problems related to layout, synthesis, droplet routing, and testing for digital microfluidic biochips</li> <li>Make routing-aware, architectural-level design choices and defect-tolerant physical design decisions simultaneously</li> <li>Achieve the optimization goal, which includes minimizing time-to-response, chip area, and test complexity</li> <li>Effectively deal with practical issues such as defects, fabrication cost, physical constraints, and application-driven design</li> </ul> The authors present specialized pin-constrained design techniques for making biochips with a focus on cost and disposability. They also discuss chip testing to ensure dependability, which is key to optimizing safety-critical applications such as point-of-care medical diagnostics, on-chip DNA analysis, automated drug discovery, air-quality monitoring, and food-safety testing. This book is an optimal reference for academic and industrial researchers in the areas of digital microfluidic biochips and electronic design automation.

Test and Diagnosis for Small-Delay Defects

This book will introduce new techniques for detecting and diagnosing small-delay defects in integrated circuits. Although this sort of timing defect is commonly found in integrated circuits manufactured with nanometer technology, this will be the first book to introduce effective and scalable methodologies for screening and diagnosing small-delay defects, including important parameters such as process variations, crosstalk, and power supply noise.

Computers & Technology

Tehranipoor, Mohammad

Peng, Ke

Computer Science

Springer

This book provides a comprehensive methodology for automated design, test and diagnosis, and use of robust, low-cost, and manufacturable digital microfluidic systems. It focuses on the development of a comprehensive CAD optimization framework for digital microfluidic biochips that unifies different design problems. With the increase in system complexity and integration levels, biochip designers can utilize the design methods described in this book to evaluate different design alternatives, and carry out design-space exploration to obtain the best design point.

Design and Testing of Digital Microfluidic Biochips

Engineering & Transportation

Zhao, Yang

Engineering

This book provides a thorough methodology for automated design, test and diagnosis, and use of robust, low-cost, and manufacturable digital microfluidic systems. It focuses on the development of a CAD optimization framework for digital microfluidic biochips.

Wafer-level testing refers to a critical process of subjecting integrated circuits and semiconductor devices to electrical testing while they are still in wafer form. Burn-in is a temperature/bias reliability stress test used in detecting and screening out potential early life device failures. This hands-on resource provides a comprehensive analysis of these methods, showing how wafer-level testing during burn-in (WLTBI) helps lower product cost in semiconductor manufacturing. Engineers learn how to implement the testing of integrated circuits at the wafer-level under various resource constraints. Moreover, this unique book helps practitioners address the issue of enabling next generation products with previous generation testers. Practitioners also find expert insights on current industry trends in WLTBI test solutions.

Wafer-Level Testing and Test During Burn-In for Integrated Circuits (Artech House Integrated Microsystems)

Bahukudumbi, Sudarshan

Artech House Publishers

The rapid growth in big data from mobile, Internet of things (IoT), and edge devices, and the continued demand for higher computing power, have established deep learning as the cornerstone of most artificial intelligence (AI) applications today. Recent years have seen a push towards deep learning implemented on domain-specific AI accelerators that support custom memory hierarchies, variable precision, and optimized matrix multiplication. Commercial AI accelerators have shown superior energy and footprint efficiency compared to GPUs for a variety of inference tasks.In this monograph, roadblocks that need to be understood and analyzed to ensure functional robustness in emerging AI accelerators are discussed. State-of-the-art practices adopted for structural and functional testing of the accelerators are presented, as well as methodologies for assessing the functional criticality of hardware faults in AI accelerators for reducing the test time by targeting the functionally critical faults.This monograph highlights recent research on efforts to improve test and reliability of neuromorphic computing systems built using non-volatile memory (NVM) devices like spin-transfer-torque (STT-MRAM) and resistive RAM (ReRAM) devices. Also are the robustness of silicon-photonic neural networks and the reliability concerns with manufacturing defects and process variations in monolithic 3D (M3D) based near-memory computing systems.

Recent Advances in Testing Techniques for AI Hardware Accelerators (Foundations and Trends(r) in Integrated Circuits and Systems)

Chaudhuri, Arjun

Chen, Ching-Yuan

Now Publishers

See the best price to sell, buy, or rent books by Chakrabarty, Krishnendu. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Chakrabarty, Krishnendu

See the best price to sell, buy, or rent books by Chakrabarty, Krishnendu. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms

Digital Microfluidic Biochips: Synthesis, Testing, and Reconfiguration Techniques

Digital Microfluidic Biochips: Design Automation and Optimization

Digital Microfluidic Biochips: Design Automation and Optimization

Test and Diagnosis for Small-Delay Defects

Design and Testing of Digital Microfluidic Biochips

Test and Diagnosis for Small-Delay Defects

Design and Testing of Digital Microfluidic Biochips

Wafer-Level Testing and Test During Burn-In for Integrated Circuits (Artech House Integrated Microsystems)

Recent Advances in Testing Techniques for AI Hardware Accelerators (Foundations and Trends(r) in Integrated Circuits and Systems)