ABSTRACT

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.

part I|98 pages

Synthesis Techniques

chapter 1|15 pages

Introduction

chapter 2|21 pages

Architectural-Level Synthesis

chapter 3|25 pages

Module Placement

chapter 4|13 pages

Unified Synthesis Methodology

chapter 5|18 pages

Droplet Routing

part II|64 pages

Testing Techniques

chapter 6|17 pages

Testing Methodology

chapter 7|14 pages

Test Planning

chapter 8|13 pages

Concurrent Testing

chapter 9|16 pages

Defect-Oriented Testing and Diagnosis

part III|44 pages

Reconfiguration Techniques

chapter 10|7 pages

Reconfiguration Schemes

chapter 11|18 pages

Defect Tolerance Based on Space Redundancy

chapter 13|4 pages

Conclusions and Future Work