Artificial Intelligence in Digital Holographic Imaging – eBook

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. This system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening by combining digital holography with AI technology, including recent deep learning approaches. It opens up a new path to data-driven diagnosis.

Artificial Intelligence in Digital Holographic Imaging, (PDF) 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 ebook provides a detailed discussion of the use of intelligent holographic imaging systems in biomedical fields with great potential for biomedical application.

978-0470647509

NOTE: This sale only includes the ebook Artificial Intelligence in Digital Holographic Imaging: Technical Basis and Biomedical Applications in PDF. No access codes are included.