Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications 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.

Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications 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.

The only all-inclusive treatment of holography—from fundamental principles to the most advanced concepts While several existing texts cover different aspects of the field of holography, none provides a complete, up-to-date, and accessible view of its popular, scientific, and engineering aspects. Now, from an author team that includes one of the world's pioneers in the field, Holographic Imaging fills this need with a single, comprehensive text that covers the subject from traditional holography to the cutting-edge development of the world's most advanced three-dimensional holographic images, holographic printing, and holographic video. Written in an engaging and easy-to-follow style, Holographic Imaging promotes a hands-on approach to making holograms and provides readers with a working understanding of how and why they work. Following a brief introduction to the fundamentals of light and diffraction, coverage includes: the diffraction efficiency of gratings, "platonic" holography, a ray-tracing analysis of holography, holographic lenses and in-line "Gabor" holography, off-axis "Leith & Upatnieks" holography, non-laser illumination of holograms, phase conjunction and real image projection, full-aperture transfer holography, white-light transmission "rainbow" holography, practical issues in rainbow holography, in-line "Denisyuk" reflection holography, off-axis reflection holography, edge-lit holography, computational display holography, holographic printing, and holographic television. Helpful diagrams and equations that summarize the mathematical and physical principles for each technique discussed make this an approachable resource for readers from a variety of backgrounds, including undergraduate and postgraduate students with an interest in optics, optoelectronics, and information display, as well as researchers, scientists, engineers, and technology-savvy artists.

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

🌟 Dive into the captivating world of holography with our exclusive book bundle: "Holography: Capturing Depth - Optics, 3D Imaging, and Laser Technology"! 🚀 Unleash your curiosity and embark on an enlightening journey through four compelling volumes that explore the intricate intersections of optics, 3D imaging, and laser technology. 📚 📘 Book 1: "Introduction to Holography: A Beginner's Guide to Optics and Laser Technology" lays the groundwork for your exploration, offering a comprehensive overview of holography's basic principles and its foundation in optics and laser technology. 🌈 📗 In Book 2, "Mastering 3D Imaging: Techniques and Applications in Modern Holography," you'll delve deeper into advanced techniques and diverse applications of holographic imaging, unlocking the secrets behind immersive visual experiences. 🌌 📙 Prepare to be dazzled in Book 3, "Advanced Laser Systems: Exploring Cutting-Edge Technologies for Holographic Displays," where you'll discover the latest advancements driving innovation in holographic display technologies, paving the way for a future of boundless possibilities. 💡 📕 And finally, in Book 4, "Holography Beyond Limits: Expert Insights into Quantum Holographic Principles and Future Frontiers," you'll push the boundaries of holography into the realm of quantum mechanics and emerging technologies, unlocking new realms of understanding and potential. 🔮 🌟 Whether you're a novice seeking to understand the basics or a seasoned expert exploring the forefront of innovation, "Holography: Capturing Depth" is your ultimate guide to unlocking the mysteries of holography and beyond. 🌟 Don't miss out on this incredible opportunity to expand your knowledge and dive into the limitless possibilities of holographic technology! Grab your bundle now and embark on an unforgettable journey! 🚀🔬🌌

SUSTAINABLE PRODUCTION INNOVATIONS Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the gambit for providing solutions and practical applications of smart and efficient energy systems. The global and climate changes we are witnessing are primarily driven by factors such as rising population, economic growth, and industrialization. These changes have led to an increase in atmospheric CO2, pollution, deforestation, water scarcity, and hunger, among other pressing issues. To ensure a green and sustainable future, it is crucial to harness renewable resources for the production of fuels, chemicals, and materials. The book, Sustainable Production Innovations, addresses several bioprocesses that are integral to our daily lives, tackling important topics such as biofuel production, energy and food security, and wastewater management. The commercial interest in biotechnological processes has grown significantly due to their ability to utilize biocatalysts such as enzymes, bacteria, plant cells, or animal cells in bioreactors for the production of medications, health supplements, foods, biofuels, and chemicals. Switching to bioproducts offers key benefits such as the sustainability of third-generation biofuels, CO2 sequestration, effective waste utilization, and meeting the increasing demand for clean water. The book explores various procedures used in biomass biorefineries and bioprocessing for the production of biofuels, biobased chemicals, and bioproducts. It also delves into advancements in utilizing oleaginous microorganisms for biofuels and nutraceuticals, biological wastewater treatment, and microplastic detection techniques in water. Additionally, the book covers topics such as biolubricant technologies, bioprocessing of agricultural and forest waste, biotechnological approaches in the cosmetic industry, and large-scale applications of nanomaterials for water treatment. Authored by experts from leading biotechnology research groups around the world, the book comprises 13 chapters featuring the latest research in each subject. It is a valuable resource for scholars in chemical engineering, applied microbiology, biotechnology, agricultural biotechnology, environmental biotechnology, and related fields, offering new insights into the sustainable use of renewable energy and biochemicals. Professionals, including biochemical engineers, phycologists, bioprocess engineers, chemical engineers, scientists, and researchers in the water, food, pharmaceutical, and renewable energy industries will find this book beneficial. Likewise, students and faculty in the chemical engineering and energy departments will gain valuable knowledge from its contents.

'Proceedings of SPIE' presents the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields.