Artificial Intelligence in Digital Holographic Miroscopy – Technical Basis and Biomedical Applications : Technical Basis and Biomedical Applications
Book Details
Format
Hardback or Cased Book
ISBN-10
0470647507
ISBN-13
9780470647509
Publisher
John Wiley & Sons Inc
Imprint
Wiley-IEEE Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Dec 13th, 2023
Print length
336 Pages
Weight
635 grams
Dimensions
23.10 x 15.80 x 2.50 cms
Product Classification:
Electronics & communications engineeringElectronics and communications engineering
Ksh 21,800.00
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This book presents a ground-breaking intelligent system for fast and non-invasive microbial identification using 3D optical imaging methods and high throughput algorithms for automatic analysis of 3D and 4D microscopic image data, as well as analysis of microscopic imaging towards a basic understanding of biological specimens.
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.
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