Algorithms for Sample Preparation with Microfluidic Lab-On-Chip.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 1: Introduction -- 1.1 Basics of Microfluidic Biochips -- 1.2 Design Automation of Microfluidic Biochips -- 1.3 Sample Preparation with Microfluidic Biochips -- 1.4 Organization of the Book -- 2: Sample Preparation with Microfluidic Biochips: A Review -- 2.1 Dilution Algorithms for DMFB -- 2.1.1 Single-Target Dilution Algorithms -- 2.1.2 Multiple-Target Dilution Algorithms -- 2.1.3 Generation of Dilution Gradients -- 2.2 Mixing Algorithms for DMFB -- 2.3 Droplet Streaming Algorithms -- 2.4 Dilution and Mixing Algorithms for CFMB -- 2.5 Summary -- 3: Multiple Dilution Sample Preparation on Digital Microfluidic Biochips -- 3.1 Related Work -- 3.2 Tree-pruning-based Dilution Algorithm -- 3.2.1 Proposed Methodology -- 3.3 Experimental Results -- 3.4 Conclusions -- 4: Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips -- 4.1 Literature Review -- 4.2 Linear Gradient -- 4.3 Exponential Gradient -- 4.4 Complex-Shaped Gradients -- 4.4.1 Digital Curve Representation of a Gradient Profile -- 4.4.2 Identification of DSS on a Gradient Profile -- 4.5 Experimental Results -- 4.5.1 Linear Gradient -- 4.5.2 Exponential Gradients -- 4.5.3 Parabolic, Sinusoidal, and Gaussian Gradients -- 4.6 Conclusions -- 5: Concentration-Resilient Mixture Preparation -- 5.1 Related Work -- 5.2 Motivation and Problem Definition -- 5.3 Proposed Method -- 5.3.1 An ILP Formulation for Optimal Solution -- 5.4 Experimental Results -- 5.5 Conclusions -- 6: Dilution and Mixing Algorithms for Flow-Based Microfluidic Biochips -- 6.1 Sample Preparation and Mixing Models -- 6.2 Related Work -- 6.3 Motivation and Contribution -- 6.4 Overview of the Proposed Method -- 6.5 Dilution.

6.5.1 Approximation of the Target Concentration Factor -- 6.5.2 Modeling of Dilution -- 6.5.3 Dilution Algorithm -- 6.6 Mixture Preparation -- 6.6.1 Approximation of the Target Mixture-Ratio -- 6.6.2 Generalized Mixing Algorithm -- 6.6.3 SMT-Based Modeling of Reagent-Saving Mixing -- 6.6.4 Reagent-Saving Mixing Algorithm -- 6.7 Experimental Results -- 6.7.1 Performance Evaluation for Dilution -- 6.7.2 Performance Evaluation for Reagent-Saving Mixing -- 6.7.3 Performance of FloSPA on Real-Life Dilution and Mixing Ratios -- 6.8 Conclusions -- 7: Storage-Aware Algorithms for Dilution and Mixture Preparation with Flow-Based Lab-on-Chip -- 7.1 Related Works -- 7.2 Storage-Aware Sample Preparation -- 7.2.1 Overview -- 7.2.2 Storage-Aware Dilution -- 7.2.3 Overview of the Storage-Aware Mixing -- 7.3 Experimental Results -- 7.3.1 Performance for Dilution -- 7.3.2 Performance for Mixing -- 7.4 Conclusions -- 8: Conclusion and Future Directions -- Bibliography -- Index -- About the Authors.

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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.