Algorithms for Sample Preparation with Microfluidic Lab-on-Chip
Recent microfluidic technologies have brought a complete paradigm shift in automating biochemical processing on a tiny lab-on-chip (a.k.a. biochip) that replaces expensive and bulky instruments traditionally used in implementing bench-top laboratory protocols. Biochips have already made a profound i...
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| Main Authors | , , |
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| Format | eBook |
| Language | English |
| Published |
River Publishers
2020
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| Series | River publishers series in biomedical engineering |
| Subjects | |
| Online Access | Get full text |
| ISBN | 8770220557 9788770220552 |
| DOI | 10.1201/9781003337157 |
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| Abstract | Recent microfluidic technologies have brought a complete paradigm shift in automating biochemical processing on a tiny lab-on-chip (a.k.a. biochip) that replaces expensive and bulky instruments traditionally used in implementing bench-top laboratory protocols. Biochips have already made a profound impact on various application domains such as clinical diagnostics, DNA analysis, genetic engineering, and drug discovery, among others. They are capable of precisely manipulating micro-/pico-liter quantities of fluids, and provide integrated support for mixing, storage, transportation, and sensing, on-chip. In almost all bioprotocols, sample preparation plays an important role, which includes dilution and mixing of several fluids satisfying certain volumetric ratios. However, designing algorithms that minimize reactant-cost and sample-preparation time suited for microfluidic chips poses a great challenge from the perspective of protocol mapping, scheduling, and physical design. Algorithms for Sample Preparation with Microfluidic Lab-on-Chip attempts to bridge the widening gap between biologists and engineers by introducing, from the fundamentals, several state-of-the-art computer-aided-design (CAD) algorithms for sample preparation with digital and flow-based microfluidic biochips. Technical topics discussed in the book include: • Basics of digital and flow-based microfluidic lab-on-chip • Comprehensive review of state-of-the-art sample preparation algorithms • Sample-preparation algorithms for digital microfluidic lab-on-chip • Sample-preparation algorithms for flow-based microfluidic lab-on-chip |
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| AbstractList | Recent microfluidic technologies have brought a complete paradigm shift in automating biochemical processing on a tiny lab-on-chip (a.k.a. biochip) that replaces expensive and bulky instruments traditionally used in implementing bench-top laboratory protocols. Biochips have already made a profound impact on various application domains such as clinical diagnostics, DNA analysis, genetic engineering, and drug discovery, among others. They are capable of precisely manipulating micro-/pico-liter quantities of fluids, and provide integrated support for mixing, storage, transportation, and sensing, on-chip. This book attempts to bridge the widening gap between biologists and engineers by introducing, from the fundamentals, several state-of-the-art computer-aided-design (CAD) algorithms for sample preparation with digital and flow-based microfluidic biochips. Recent microfluidic technologies have brought a complete paradigm shift in automating biochemical processing on a tiny lab-on-chip (a.k.a. biochip) that replaces expensive and bulky instruments traditionally used in implementing bench-top laboratory protocols. Biochips have already made a profound impact on various application domains such as clinical diagnostics, DNA analysis, genetic engineering, and drug discovery, among others. They are capable of precisely manipulating micro-/pico-liter quantities of fluids, and provide integrated support for mixing, storage, transportation, and sensing, on-chip. In almost all bioprotocols, sample preparation plays an important role, which includes dilution and mixing of several fluids satisfying certain volumetric ratios. However, designing algorithms that minimize reactant-cost and sample-preparation time suited for microfluidic chips poses a great challenge from the perspective of protocol mapping, scheduling, and physical design. Algorithms for Sample Preparation with Microfluidic Lab-on-Chip attempts to bridge the widening gap between biologists and engineers by introducing, from the fundamentals, several state-of-the-art computer-aided-design (CAD) algorithms for sample preparation with digital and flow-based microfluidic biochips. Technical topics discussed in the book include: • Basics of digital and flow-based microfluidic lab-on-chip • Comprehensive review of state-of-the-art sample preparation algorithms • Sample-preparation algorithms for digital microfluidic lab-on-chip • Sample-preparation algorithms for flow-based microfluidic lab-on-chip |
| Author | Bhattacharya, Bhargab B Chakrabarty, Krishnendu Bhattacharjee, Sukanta |
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| TableOfContents | Preface ix List of Figures xi List of Tables xv List of Abbreviations xvii 1 Introduction 1 1.1 Basics of Microfluidic Biochips 2 1.2 Design Automation of Microfluidic Biochips 6 1.3 Sample Preparation with Microfluidic Biochips 7 1.4 Organization of the Book 13 2 Sample Preparation with Microfluidic Biochips: A Review 15 2.1 Dilution Algorithms for DMFB 17 2.1.1 Single-target Dilution Algorithms 17 2.1.2 Multiple-target Dilution Algorithms 19 2.1.3 Generation of Dilution Gradients 20 2.2 Mixing Algorithms for DMFB 21 2.3 Droplet Streaming Algorithms 22 2.4 Dilution and Mixing Algorithms for CFMB 22 2.5 Summary 24 3 Multiple Dilution Sample Preparation on Digital Microfluidic Biochips 29 3.1 Related Work 30 3.2 Tree-pruning-based Dilution Algorithm 31 3.2.1 Proposed Methodology 31 3.3 Experimental Results 38 3.4 Conclusions 42 4 Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips 43 4.1 Literature Review 44 4.2 Linear Gradient 45 4.3 Exponential Gradient 51 4.4 Complex-shaped Gradients 55 4.4.1 Digital Curve Representation of a Gradient Profile 58 4.4.2 Identification of DSS on a Gradient Profile 58 4.5 Experimental Results 64 4.5.1 Linear Gradient 64 4.5.2 Exponential Gradients 65 4.5.3 Parabolic, Sinusoidal, and Gaussian Gradients 68 4.6 Conclusions 71 5 Concentration-Resilient Mixture Preparation 73 5.1 Related Work 74 5.2 Motivation and Problem Definition 76 5.3 Proposed Method 79 5.3.1 An ILP Formulation for Optimal Solution 80 5.4 Experimental Results 82 5.5 Conclusions 89 6 Dilution and Mixing Algorithms for Flow-based Microfluidic Biochips 91 6.1 Sample Preparation and Mixing Models 92 6.2 Related Work 95 6.3 Motivation and Contribution 96 6.4 Overview of the Proposed Method 99 6.5 Dilution 100 6.5.1 Approximation of the Target Concentration Factor 101 6.5.2 Modeling of Dilution 102 6.5.3 Dilution Algorithm 107 6.6 Mixture Preparation 109 6.6.1 Approximation of the Target Mixture-Ratio 109 6.6.2 Generalized Mixing Algorithm 109 6.6.3 SMT-based Modeling of Reagent-saving Mixing 111 6.6.4 Reagent-Saving Mixing Algorithm 115 6.7 Experimental Results 117 6.7.1 Performance Evaluation for Dilution 118 6.7.2 Performance Evaluation for Reagent-Saving Mixing 119 6.7.3 Performance of FloSPA on Real-life Dilution and Mixing Ratios 123 6.8 Conclusions 124 7 Storage-Aware Algorithms for Dilution and Mixture Preparation with Flow-Based Lab-on-Chip 125 7.1 Related Works 126 7.2 Storage-Aware Sample Preparation 127 7.2.1 Overview 128 7.2.2 Storage-Aware Dilution 128 7.2.3 Overview of the Storage-Aware Mixing 133 7.3 Experimental Results 136 7.3.1 Performance for Dilution 136 7.3.2 Performance for Mixing 137 7.4 Conclusions 138 8 Conclusion and Future Directions 141 Bibliography 143 Index 157 About the Authors 159 |
| Title | Algorithms for Sample Preparation with Microfluidic Lab-on-Chip |
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