UID:
almahu_9949386245002882
Format:
1 online resource
ISBN:
1000082709
,
9781003053187
,
1003053181
,
9781000082661
,
1000082660
,
9781000082685
,
1000082687
,
9781000082708
Content:
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 areas 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 are still an open question since no protection schemes were developed against adversarial contamination or result-manipulation attacks. Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms 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 it is viewed from the perspective of an electronic/systems engineer.
Note:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- 1. Introduction -- 1.1 Overview of Digital Microfluidics -- 1.2 Overview of Continuous-Flow Microfluidics -- 1.3 Design Automation and Optimization of Microfluidic Biochips -- 1.4 Cyber-Physical Adaptation for Quantitative Analysis -- 1.5 Security Assessment of Biomolecular Quantitative Analysis -- 1.6 Proposed Research Methodology -- 1.7 Book Outline -- Part I: Real-Time Execution of Multi-Sample Biomolecular Ana -- 2. Synthesis for Multiple Sample Pathways: Gene-Expression Analysis
,
2.1 Benchtop Protocol for Gene-Expression Analysis -- 2.2 Digital Microfluidics for Gene-Expression Analysis -- 2.3 Spatial Reconfiguration -- 2.4 Shared-Resource Allocation -- 2.5 Firmware for Quantitative Analysis -- 2.6 Simulation Results -- 2.7 Chapter Summary -- 3. Synthesis of Protocols with Temporal Constraints: Epigenetic Analysis -- 3.1 Miniaturization of Epigenetic-Regulation Analysis -- 3.2 System Model -- 3.3 Task Assignment and Scheduling -- 3.4 Simulation Results and Experimental Demonstration -- 3.5 Chapter Summary
,
4. A Micro uidics-Driven Cloud Service: Genomic Association Studies -- 4.1 Background -- 4.2 Biological Pathway of Gene Expression and Omic Data -- 4.3 Case Study: Integrative Multi-Omic Investigation of Breast Cancer -- 4.4 The Proposed Framework: BioCyBig -- 4.5 BioCyBig Application Stack -- 4.6 Design of Microfluidics for Genomic Association Studies -- 4.7 Distributed-System Interfacing and Integration -- 4.8 Chapter Summary -- Part II: Synthesis of Protocols with Indexed Samples: Single-Cell Analysis -- 5. Synthesis of Protocols with Indexed Samples: Single-Cell Analysis
,
5.1 Hybrid Platform and Single-Cell Analysis -- 5.2 Mapping to Algorithmic Models -- 5.3 Co-Synthesis Methodology -- 5.4 Valve-Based Synthesizer -- 5.5 Protocol Modeling Using Markov Chains -- 5.6 Simulation Results -- 5.7 Chapter Summary -- 6. Timing-Driven Synthesis with Pin Constraints: Single-Cell Screening -- 6.1 Preliminaries -- 6.2 Multiplexed Control and Delay -- 6.3 Sortex: Synthesis Solution -- 6.4 Experimental Results -- 6.5 Chapter Summary -- Part III: Parameter-Space Exploration and Error Recovery -- 7. Synthesis for Parameter-Space Exploration: Synthetic Biocircuits
,
7.1 Background -- 7.2 PSE Based on MEDA Biochips -- 7.3 Sampling of Concentration Factor Space -- 7.4 Synthesis Methodology -- 7.5 High-Level Synthesis -- 7.6 Physical-Level Synthesis -- 7.7 Simulation Results -- 7.8 Chapter Summary -- 8. Fault-Tolerant Realization of Biomolecular Assays -- 8.1 Physical Defects and Prior Error-Recovery Solutions -- 8.2 Adaptation of the C5 Architecture to Error Recovery -- 8.3 System Design -- 8.4 Dictionary-Based Error Recovery -- 8.5 Experiment Results and Demonstration -- 8.6 Chapter Summary -- Part IV: Security Vulnerabilities and Countermeasures
Additional Edition:
Print version: ISBN 036722352X
Additional Edition:
ISBN 9780367223526
Language:
English
Keywords:
Electronic books.
;
Electronic books.
DOI:
10.1201/9781003053187
URL:
https://www.taylorfrancis.com/books/9781003053187
