Preface |
|
ix | |
|
|
xi | |
|
|
xv | |
|
|
xvii | |
|
|
1 | (14) |
|
1.1 Basics of Microfiuidic Biochips |
|
|
2 | (4) |
|
1.2 Design Automation of Microfiuidic Biochips |
|
|
6 | (1) |
|
1.3 Sample Preparation with Microfiuidic Biochips |
|
|
7 | (6) |
|
1.4 Organization of the Book |
|
|
13 | (2) |
|
2 Sample Preparation with Microfiuidic Biochips: A Review |
|
|
15 | (14) |
|
2.1 Dilution Algorithms for DMFB |
|
|
17 | (4) |
|
2.1.1 Single-target Dilution Algorithms |
|
|
17 | (2) |
|
2.1.2 Multiple-target Dilution Algorithms |
|
|
19 | (1) |
|
2.1.3 Generation of Dilution Gradients |
|
|
20 | (1) |
|
2.2 Mixing Algorithms for DMFB |
|
|
21 | (1) |
|
2.3 Droplet Streaming Algorithms |
|
|
22 | (1) |
|
2.4 Dilution and Mixing Algorithms for CFMB |
|
|
22 | (2) |
|
|
24 | (5) |
|
3 Multiple Dilution Sample Preparation on Digital Microfiuidic Biochips |
|
|
29 | (14) |
|
|
30 | (1) |
|
3.2 Tree-pruning-based Dilution Algorithm |
|
|
31 | (7) |
|
3.2.1 Proposed Methodology |
|
|
31 | (7) |
|
|
38 | (4) |
|
|
42 | (1) |
|
4 Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips |
|
|
43 | (30) |
|
|
44 | (1) |
|
|
45 | (6) |
|
|
51 | (4) |
|
4.4 Complex-shaped Gradients |
|
|
55 | (9) |
|
4.4.1 Digital Curve Representation of a Gradient Profile |
|
|
58 | (1) |
|
4.4.2 Identification of DSS on a Gradient Profile |
|
|
58 | (6) |
|
|
64 | (7) |
|
|
64 | (1) |
|
4.5.2 Exponential Gradients |
|
|
65 | (3) |
|
4.5.3 Parabolic, Sinusoidal, and Gaussian Gradients |
|
|
68 | (3) |
|
|
71 | (2) |
|
5 Concentration-Resilient Mixture Preparation |
|
|
73 | (18) |
|
|
74 | (2) |
|
5.2 Motivation and Problem Definition |
|
|
76 | (3) |
|
|
79 | (3) |
|
5.3.1 An ILP Formulation for Optimal Solution |
|
|
80 | (2) |
|
|
82 | (7) |
|
|
89 | (2) |
|
6 Dilution and Mixing Algorithms for Flow-based Microfluidic Biochips |
|
|
91 | (34) |
|
6.1 Sample Preparation and Mixing Models |
|
|
92 | (3) |
|
|
95 | (1) |
|
6.3 Motivation and Contribution |
|
|
96 | (3) |
|
6.4 Overview of the Proposed Method |
|
|
99 | (1) |
|
|
100 | (9) |
|
6.5.1 Approximation of the Target Concentration Factor |
|
|
101 | (1) |
|
6.5.2 Modeling of Dilution |
|
|
102 | (5) |
|
|
107 | (2) |
|
|
109 | (8) |
|
6.6.1 Approximation of the Target Mixture-Ratio |
|
|
109 | (1) |
|
6.6.2 Generalized Mixing Algorithm |
|
|
109 | (2) |
|
6.6.3 SMT-based Modeling of Reagent-saving Mixing |
|
|
111 | (4) |
|
6.6.4 Reagent-Saving Mixing Algorithm |
|
|
115 | (2) |
|
|
117 | (7) |
|
6.7.1 Performance Evaluation for Dilution |
|
|
118 | (1) |
|
6.7.2 Performance Evaluation for Reagent-Saving Mixing |
|
|
119 | (4) |
|
6.7.3 Performance of FloSPA on Real-life Dilution and Mixing Ratios |
|
|
123 | (1) |
|
|
124 | (1) |
|
7 Storage-Aware Algorithms for Dilution and Mixture Preparation with Flow-Based Lab-on-Chip |
|
|
125 | (16) |
|
|
126 | (1) |
|
7.2 Storage-Aware Sample Preparation |
|
|
127 | (9) |
|
|
128 | (1) |
|
7.2.2 Storage-Aware Dilution |
|
|
128 | (5) |
|
7.2.3 Overview of the Storage-Aware Mixing |
|
|
133 | (3) |
|
|
136 | (2) |
|
7.3.1 Performance for Dilution |
|
|
136 | (1) |
|
7.3.2 Performance for Mixing |
|
|
137 | (1) |
|
|
138 | (3) |
|
8 Conclusion and Future Directions |
|
|
141 | (2) |
Bibliography |
|
143 | (14) |
Index |
|
157 | (2) |
About the Authors |
|
159 | |