Wiley in Biomedical Engineering and Multi-Disciplinary Integrated Systems

The most complete, up-to-date reference on antigen retrieval and immunohistochemistry. An antigen is a substance that prompts the generation of antibodies and can cause an immune response. The antigen retrieval (AR) technique is in wide use across the globe, and is a critical technique used in medical diagnosis of disease, particularly clinical targeted cancer treatment. “Antigen Retrieval Immunohistochemistry Based Research and Diagnostics” discusses several scientific approaches to the standardization of quantifiable immunohistochemistry (IHC). Based on the development and application of AR by the editors, this volume summarizes recent achievements in AR-IHC and analyzes numerous cutting-edge issues for future research projects. Featuring contributions from a worldwide group of leading experts and research scientists in the field, this important work: • Summarizes the key problems in the four fields of antigen retrieval • Discusses the advances of AR techniques and their applications • Provides practical methods and protocols in AR-IHC, such as extraction of nucleic acids and proteins for molecular analysis, cell/tissue sample preparation, and standardization and development of various techniques to meet the future needs of¿clinical and research molecular analysis • Encourages further research in AR and IHC, particularly how AR methods might be employed for improved test performance and the development of greater reliability and reproducibility of IHC • Includes an appendix of related laboratory protocols “Antigen Retrieval Immunohistochemistry Based Research and Diagnostics” is intended for clinical pathologists, molecular cell biologists, basic research scientists, technicians, and graduate students who undertake tissue/cell morphologic and molecular analysis and wish to use and extend the power of immunohistochemistry. It is also pertinent for most biotechnology companies majoring in development of IHC products.

This book provides students, teachers, researchers and clinicians with a strong and established source of information on advanced optical technologies that show real promise of being translated to clinical use.

This book is an introduction to the emerging field of nanomedicine and its applications to health care. It describes the many multidisciplinary challenges facing nanomedicine and discusses the required collaboration between chemists, physicists, engineers and clinicians. The book introduces the reader to nanomedicine's vast potential to improve and extend human life through the application of nanomaterials in diagnosis and treatment of disease.

A comprehensive guide to understanding and interpreting digital images in medical and functional applications. “Biomedical Image Understanding” focuses on image understanding and semantic interpretation, with clear introductions to related concepts, in-depth theoretical analysis, and detailed descriptions of important biomedical applications. It covers image processing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, “Biomedical Image Understanding”: • Addresses motion tracking and knowledge-based systems, two areas which are not covered extensively elsewhere in a biomedical context • Describes important clinical applications, such as virtual colonoscopy, ocular disease diagnosis, and liver tumor detection • Contains twelve self-contained chapters, each with an introduction to basic concepts, principles, and methods, and a case study or application With over 150 diagrams and illustrations, this book is an essential resource for the reader interested in rapidly advancing research and applications in biomedical image understanding.

An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition. Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. “Artificial Intelligence in Digital Holographic Imaging” introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks, convolutional neural networks, and generative adversarial network. Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What's Inside • Introductory background on digital holography • Key concepts of digital holographic imaging • Deep-learning techniques for holographic imaging • AI techniques in holographic image analysis • Holographic image-classification models • Automated phenotypic analysis of live cells For readers with various backgrounds, this book provides a detailed discussion of the use of intelligent holographic imaging system in biomedical fields with great potential for biomedical application.

Presents a comprehensive description of the theory and practical implementation of Doppler radar-based physiological monitoring. This book includes an overview of current physiological monitoring techniques and explains the fundamental technology used in remote non-contact monitoring methods. Basic radio wave propagation and radar principles are introduced along with the fundamentals of physiological motion and measurement. Specific design and implementation considerations for physiological monitoring radar systems are then discussed in detail. The authors address current research and commercial development of Doppler radar based physiological monitoring for healthcare and other applications. • Explains pros and cons of different Doppler radar architectures, including CW, FMCW, and pulsed Doppler radar • Discusses nonlinear demodulation methods, explaining dc offset, dc information, center tracking, and demodulation enabled by dc cancellation • Reviews advanced system architectures that address issues of dc offset, spectrum folding, motion interference, and range resolution • Covers Doppler radar physiological measurements demonstrated to date, from basic cardiopulmonary rate extractions to more involved volume assessments “Doppler Radar Physiological Sensing” serves as a fundamental reference for radar, biomedical, and microwave engineers as well as healthcare professionals interested in remote physiological monitoring methods.