Ebook: Design Automation Methods and Tools for Microfluidics-Based Biochips

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. 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 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.

Microfluidics-based biochips, also known as lab-on-a-chip or bio-MEMS, are increasingly popular for DNA analysis, clinical diagnostics, and the detection and manipulation of bio-molecules, because they automate highly repetitive laboratory tasks by replacing cumbersome equipment with miniaturized and integrated systems. They also enable the handling of small amounts of fluids, down to the nanoliter. 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

Microfluidics-based biochips, also known as lab-on-a-chip or bio-MEMS, are increasingly popular for DNA analysis, clinical diagnostics, and the detection and manipulation of bio-molecules, because they automate highly repetitive laboratory tasks by replacing cumbersome equipment with miniaturized and integrated systems. They also enable the handling of small amounts of fluids, down to the nanoliter. 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
Content:
Front Matter....Pages I-IX
MICROFLUIDICS-BASED BIOCHIPS: TECHNOLOGY ISSUES, IMPLEMENTATION PLATFORMS, AND DESIGN AUTOMATION CHALLENGES....Pages 1-29
MODELING AND SIMULATION OF ELECTRIFIED DROPLETS AND ITS APPLICATION TO COMPUTER-AIDED DESIGN OF DIGITAL MICROFLUIDICS....Pages 31-52
MODELING, SIMULATION AND OPTIMIZATION OF ELECTROWETTING....Pages 53-84
ALGORITHMS IN FASTSTOKES AND ITS APPLICATION TO MICROMACHINED DEVICE SIMULATION....Pages 85-107
COMPOSABLE BEHAVIORAL MODELS AND SCHEMATIC-BASED SIMULATION OF ELECTROKINETIC LAB-ON-A-CHIP SYSTEMS....Pages 109-142
FFTSVD: A FAST MULTISCALE BOUNDARY ELEMENT METHOD SOLVER SUITABLE FOR BIO-MEMS AND BIOMOLECULE SIMULATION....Pages 143-168
MACROMODEL GENERATION FOR BIOMEMS COMPONENTS USING A STABILIZED BALANCED TRUNCATION PLUS TRAJECTORY PIECEWISE LINEAR APPROACH....Pages 169-187
SYSTEM-LEVEL SIMULATION OF FLOW INDUCED DISPERSION IN LAB-ON-A-CHIP SYSTEMS....Pages 189-214
MICROFLUIDIC INJECTOR MODELS BASED ON ARTIFICIAL NEURAL NETWORKS....Pages 215-233
COMPUTER-AIDED OPTIMIZATION OF DNA ARRAY DESIGN AND MANUFACTURING....Pages 235-269
SYNTHESIS OF MULTIPLEXED BIOFLUIDIC MICROCHIPS....Pages 271-300
MODELING AND CONTROLLING PARALLEL TASKS IN DROPLET-BASED MICROFLUIDIC SYSTEMS....Pages 301-327
PERFORMANCE CHARACTERIZATION OF A RECONFIGURABLE PLANAR ARRAY DIGITAL MICROFLUIDIC SYSTEM....Pages 329-356
A PATTERN-MINING METHOD FOR HIGH-THROUGHPUT LAB-ON-A-CHIP DATA ANALYSIS....Pages 357-400
Back Matter....Pages 401-403

Microfluidics-based biochips, also known as lab-on-a-chip or bio-MEMS, are increasingly popular for DNA analysis, clinical diagnostics, and the detection and manipulation of bio-molecules, because they automate highly repetitive laboratory tasks by replacing cumbersome equipment with miniaturized and integrated systems. They also enable the handling of small amounts of fluids, down to the nanoliter. 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
Content:
Front Matter....Pages I-IX
MICROFLUIDICS-BASED BIOCHIPS: TECHNOLOGY ISSUES, IMPLEMENTATION PLATFORMS, AND DESIGN AUTOMATION CHALLENGES....Pages 1-29
MODELING AND SIMULATION OF ELECTRIFIED DROPLETS AND ITS APPLICATION TO COMPUTER-AIDED DESIGN OF DIGITAL MICROFLUIDICS....Pages 31-52
MODELING, SIMULATION AND OPTIMIZATION OF ELECTROWETTING....Pages 53-84
ALGORITHMS IN FASTSTOKES AND ITS APPLICATION TO MICROMACHINED DEVICE SIMULATION....Pages 85-107
COMPOSABLE BEHAVIORAL MODELS AND SCHEMATIC-BASED SIMULATION OF ELECTROKINETIC LAB-ON-A-CHIP SYSTEMS....Pages 109-142
FFTSVD: A FAST MULTISCALE BOUNDARY ELEMENT METHOD SOLVER SUITABLE FOR BIO-MEMS AND BIOMOLECULE SIMULATION....Pages 143-168
MACROMODEL GENERATION FOR BIOMEMS COMPONENTS USING A STABILIZED BALANCED TRUNCATION PLUS TRAJECTORY PIECEWISE LINEAR APPROACH....Pages 169-187
SYSTEM-LEVEL SIMULATION OF FLOW INDUCED DISPERSION IN LAB-ON-A-CHIP SYSTEMS....Pages 189-214
MICROFLUIDIC INJECTOR MODELS BASED ON ARTIFICIAL NEURAL NETWORKS....Pages 215-233
COMPUTER-AIDED OPTIMIZATION OF DNA ARRAY DESIGN AND MANUFACTURING....Pages 235-269
SYNTHESIS OF MULTIPLEXED BIOFLUIDIC MICROCHIPS....Pages 271-300
MODELING AND CONTROLLING PARALLEL TASKS IN DROPLET-BASED MICROFLUIDIC SYSTEMS....Pages 301-327
PERFORMANCE CHARACTERIZATION OF A RECONFIGURABLE PLANAR ARRAY DIGITAL MICROFLUIDIC SYSTEM....Pages 329-356
A PATTERN-MINING METHOD FOR HIGH-THROUGHPUT LAB-ON-A-CHIP DATA ANALYSIS....Pages 357-400
Back Matter....Pages 401-403
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