Algorithms for sample preparation with microfluidic lab-on-chip /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bhattacharjee, Sukanta (Autor), Bhattacharya, Bhargab B. (Autor), Chakrabarty, Krishnendu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Gistrup, Denmark : River Publishers, [2019]
Colección:River Publishers series in biomedical engineering.
Temas:
Biochips.
Labs on a chip.
Microfluidic devices.
Biomedical engineering.
Lab-On-A-Chip Devices
Biomedical Engineering
Microfluidic Analytical Techniques
Biomedical Technology
Biopuces.
Laboratoires sur puces.
Dispositifs microfluidiques.
Génie biomédical.
biomedical engineering.
SCIENCE / Energy
TECHNOLOGY / Electronics / Microelectronics
Biomedical engineering
Biochips
Labs on a chip
Microfluidic devices
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN BIOMEDICALENGINEERING; Title Page; Copyright Page; Contents; Preface; List of Figures; List of Tables; List of Abbreviations; Chapter 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; Chapter 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 Gradients2.2 Mixing Algorithms for DMFB; 2.3 Droplet Streaming Algorithms; 2.4 Dilution and Mixing Algorithms for CFMB; 2.5 Summary; Chapter 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; Chapter 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 Profile4.4.2 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; Chapter 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; Chapter 6
  • Dilution and Mixing Algorithms for Flow-based Microfluidic Biochips
  • 6.1 Sample Preparation and Mixing Models6.2 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 Ratios6.8 Conclusions; Chapter 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; Chapter 8
  • Conclusion and Future Directions; Bibliography; Index; About the Authors; Back Cover

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