Title: Artificial Intelligence in Digital Holographic Imaging: Technical Basis and Biomedical Applications (Wiley in Biomedical Engineering and Multi-disciplinary Integrated Systems)
Publisher: Wiley-IEEE Press
Publication Date: 2022
Language: English
ISBN 10: 0470647507
ISBN 13: 9780470647509
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

About the Author

Inkyu Moon, PhD, is Professor in the Department of Robotics and Mechatronics Engineering at Daegu Gyeongbuk Institute of Science & Technology (DGIST), South Korea.

"About this title" may belong to another edition of this title.

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