
Algorithms for Sample Preparation with Microfluidic Lab-On-Chip
Format: Hardcover
ISBN13: 9788770220552
Hardcover|9788770220552
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Overview
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-chipComprehensive review of state-of-the-art sample preparation algorithmsSample-preparation algorithms for digital microfluidic lab-on-chipSample-preparation algorithms for flow-based microfluidic lab-on-chip
| ISBN-13 | 9788770220552 |
|---|---|
| ISBN-10 | 8770220557 |
| Weight | 0.95 Pounds |
| Dimensions | 6.00 x 0.75 x 9.25 In |
| List Price | $125.00 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | 178 pages |
| Publisher | River Publishers |
| Published On | 2019-01-31 |
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