Computational Optical Biomedical Spectroscopy And Imaging
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Computational Optical Biomedical Spectroscopy and Imaging
Computational Optical Biomedical Spectroscopy and Imaging covers recent discoveries and research in the field by some of the best inventors and researchers in the world. It also presents useful computational methods and applications used in optical biomedical spectroscopy and imaging. Topics covered include:New trends in immunohistochemical, genome
Neurophotonics and Biomedical Spectroscopy
Neurophotonics and Biomedical Spectroscopy addresses the novel state-of-the-art work in non-invasive optical spectroscopic methods that detect the onset and progression of diseases and other conditions, including pre-malignancy, cancer, Alzheimer's disease, tissue and cell response to therapeutic intervention, unintended injury and laser energy deposition. The book then highlights research in neurophotonics that investigates single and multi-photon excitation optical signatures of normal/diseased nerve tissues and in the brain, providing a better understanding of the underlying biochemical and structural changes of tissues and cells that are responsible for the observed spectroscopic signatures. Topics cover a wide array of well-established UV, visible, NIR and IR optical and spectroscopic techniques and novel approaches to diagnose tissue changes, including: label free in vivo and ex vivo fluorescence spectroscopy, Stoke shift spectroscopy, spectral imaging, Resonance Raman spectroscopy, multiphoton two Photon excitation, and more. - Provides an overview of the spectroscopic properties of tissue and tissue-light interaction, describing techniques to exploit these properties in imaging - Explores the potential and significance of molecule-specific imaging and its capacity to reveal vital new information on nanoscale structures - Offers a concise overview of different spectroscopic methods and their potential benefits for solving diagnostic and therapeutic problems
Handbook of Large-Scale Distributed Computing in Smart Healthcare
This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.