Computational Optical Phase Imaging

This book provides Matlab codes to simulate computational optical phase imaging techniques and discusses their applications in engineering measurements and biomedical imaging. It also explores the future of computational optical phase imaging, including system miniaturization and deep learning-based phase retrieval.

Format: Paperback / softback
Length: 301 pages
Publication date: 13 April 2023
Publisher: Springer Verlag, Singapore

In this comprehensive book, we delve into the realm of computational optical phase imaging techniques, accompanied by Matlab codes that empower readers to embark on their own simulations and acquire a deep understanding of the cutting-edge field. Our focus lies in exploring the modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Furthermore, we engage in a thoughtful exploration of the future of computational optical phase imaging, particularly in terms of system miniaturization and the integration of deep learning-based phase retrieval algorithms.

Computational optical phase imaging is a powerful tool that enables the visualization and manipulation of optical phases in a wide range of applications. By leveraging advanced algorithms and computational techniques, researchers and engineers can obtain precise and detailed information about the properties of materials, biological structures, and other objects of interest.

One of the key advantages of computational optical phase imaging is its ability to provide high-resolution images with a wide field of view. This makes it particularly useful in applications such as microscopy, where the resolution of traditional optical imaging techniques is limited by the size of the objective lens. Computational optical phase imaging can also be used to study the dynamics of complex systems, such as fluids, tissues, and biological cells, in real-time.

In this book, we will introduce various computational optical phase imaging techniques, including phase retrieval algorithms, phase-shifting interferometry, and coherent optical tomography. We will also provide detailed explanations of the underlying principles and mathematical models, as well as practical examples and case studies to illustrate the applications of these techniques.

In addition to the theoretical aspects, we will also focus on the development of Matlab codes that enable readers to run their own simulations and gain hands-on experience with computational optical phase imaging. These codes will cover a wide range of topics, from basic phase retrieval algorithms to more advanced techniques such as deep learning-based phase retrieval.

By the end of this book, readers will have a solid understanding of the current state-of-the-art in computational optical phase imaging and will be equipped with the skills and knowledge necessary to apply these techniques in their own research and applications.

In conclusion, this book is a valuable resource for researchers, engineers, and students interested in the field of computational optical phase imaging. It provides a comprehensive introduction to the techniques, accompanied by Matlab codes that enable readers to gain practical experience and explore the potential of this exciting field.

Weight: 480g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811916434
Edition number: 1st ed. 2022