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 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

Sukanta Bhattacharjee received the B.Tech. degree in computer science and engineering from the University of Calcutta, India and the M.Tech. and Ph.D. degrees in computer science from the Indian Statistical Institute, Kolkata, India. He is currently working as a post-doctoral associate in the Center for Cyber Security, New York University, Abu Dhabi. His research interests include design automation algorithms for micröuidic biochip, formal methods, and security.

Algorithms for Sample Preparation with Microfluidic Lab-on-Chip