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In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.
This book presents commonly applied characterization techniques in material science, their brief history and origins, mechanism of operation, advantages and disadvantages, their biosensing applications, and troubleshooting for each technique, while addressing the challenges researchers face when working with these techniques. The book dedicates its focus to identifying physicochemical and electrochemical nature of materials including analyses of morphology, mass spectrometry, and topography, as well as the characterization of elemental, structural, thermal, wettability, electrochemical, and chromatography properties. Additionally, the main features and benefits of using coupled characterization techniques are discussed in this book.
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