Bøger i River Publishers Series in Biomedical Engineering serien

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

This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms.

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots.

Demonstrates the development of a class-AB current-mode sample-and-hold circuit with an order of magnitude improvement in its figure of merit compared to other state-of-the-art designs. The concepts and design procedures of single-branch filters, follower-integrator-based lowpass filters, and modular transconductance reduction techniques for very low frequency filters are also presented.

Provides an overview of research, experiences and results for the design, development and test of hardware and software components, and the ambition to safely implant and evaluate a novel neural interface system to combat phantom limb pain in an amputee volunteer subject.

Provides tools for designing architectural forms and creative works using the slime mould, an understanding how pro-cognitive living substrates can be used in everyday life, and sparks new ideas and initiates further progress in many fields or arts, architecture, science and engineering.

Presents recent advances in the fields of ciliary investigation, manipulation, emulation, mimesis and modelling from key researchers in their fields. The goal is to explain the state-of-the-art in cilia bioengineering and bio-computation in a uniquely creative, accessible manner, to encourage further transdisciplinary work in the field.