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๐Ÿ“

Design Automation Methods and Tools for Microfluidics-Based Biochips

โœ Scribed by Jun Zeng


Publisher
Springer
Year
2006
Tongue
English
Leaves
406
Edition
1
Category
Library

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โœฆ Synopsis


Microfluidics-based biochips, also known as lab-on-a-chip or bio-MEMS, are becoming increasingly popular for DNA analysis, clinical diagnostics, and the detection/manipulation of bio-molecules. These systems automate highly repetitive laboratory tasks by replacing cumbersome equipment with miniaturized and integrated systems, and they enable the handling of small amounts, e.g., nanoliters, of fluids. Thus they are able to provide ultra-sensitive detection at significantly lower costs per assay than traditional methods.

As the use of microfluidics-based biochips increases, their complexity is expected to become significant due to the need for multiple and concurrent assays on the chip, as well as more sophisticated control mechanisms for resource management. Time-to-market and fault tolerance are also expected to emerge as design considerations. As a result, current full-custom design techniques will not scale well for larger designs. There is a need to deliver the same level of CAD support to the biochip designer that the semiconductor industry now takes for granted.

Design Automation Methods and Tools for Microfluidics-Based Biochips deals with all aspects of design automation for microfluidics-based biochips. Experts have contributed chapters on various aspects of biochip design automation. Topics that are covered include device modeling; adaptation of bioassays for on-chip implementations; numerical methods and simulation tools; architectural synthesis, scheduling and binding of assay operations; physical design and module placement; fault modeling and testing; reconfiguration methods.

โœฆ Table of Contents


TABLE OF CONTENTS......Page 5
Preface......Page 7
1. Microfluidics-based Biochips: Technology Issues, Implementation Platforms, and Design Automation Challenges......Page 10
2. Modeling and Simulation of Electrified Droplets and Its Application to Computer-Aided Design of Digital Microfluidics......Page 39
3. Modelling, Simulation and Optimization of Electrowetting......Page 61
4. Algorithms in FastStokes and its Application to Micromachined Device Simulation......Page 93
5. Composable Behavioral Models and Schematic-Based Simulation of Electrokinetic Lab-on-a-Chip Systems......Page 116
6. FFTSVD: A Fast Multiscale Boundary Element Method Solver Suitable for Bio-MEMS and Biomolecule Simulation......Page 150
7. Macromodel Generation for BioMEMS Components Using a Stabilized Balanced Truncation Plus Trajectory Piecewise Linear Approach......Page 176
8. System-level Simulation of Flow Induced Dispersion in Lab-on-a-chip Systems......Page 195
9. Microfluidic Injector Models Based On Artificial Neural Networks......Page 221
10. Computer-Aided Optimization of DNA Array Design and Manufacturing......Page 240
11. Synthesis of Multiplexed Biofluidic Microchips......Page 275
12. Modeling and Controlling Parallel Tasks in Droplet-Based Microfluidic Systems......Page 305
13. Performance Characterization of a Reconfigurable Planar Array Digital Microfluidic System......Page 332
14. A Pattern Mining Method for High-throughput Lab-on-a-chip Data Analysis......Page 360
H......Page 404
S......Page 405
W......Page 406


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