Bryan Hennelly – författare

A comprehensive cross section of phase-space optics

This definitive volume highlights an elegant, unified approach to optical rays, waves, and system design using cutting-edge phase-space techniques. Phase-Space Optics: Fundamentals and Applications details theoretical concepts of phase space as well as novel engineering applications in specific disciplines. This authoritative guide includes full coverage of sampling, superresolution imaging, and the phase-space interpretation of ultrafast optics. Work with Wigner optics, analyze phase-space equations, develop wave propagation models, and gain a new understanding of optical sources and systems. Discover how to:

Describe optical phenomena using Wigner and ambiguity functionsPerform phase-space rotations using ray transformation matricesInfluence the trade-off between pupil size and depth of fieldAnalyze and design optical signals using the Radon-Wigner transformAccomplish superresolution by squeezing phase spaceInterpret the intimate relationship between radiometry and coherenceUse basic algebra to discover self-imaging, Fresnel diffraction, and the Talbot effectDevelop discrete models, sampling criteria, and interpolation formulaeWork with ultrafast processes and complex space-time structures

This book presents recent advances in spectral analysis techniques for biological applications, with a strong emphasis on cancer detection, including microparticle detection in blood and urine. While metastatic cancer remains incurable, early diagnosis and appropriate treatment significantly enhance survival outcomes. The book explores modern non-invasive spectroscopic and imaging techniques such as thermal imaging, Fourier-transform infrared (FTIR) spectroscopy, photothermal spectroscopy, Raman imaging, photoacoustic microscopy and tomography, and hyperspectral imaging and highlighting their technological developments, diagnostic potential, and current challenges. It also discusses future research directions aimed at improving sensitivity, accuracy, and clinical translation. Intended for researchers, clinicians, and graduate students, this volume provides fundamental knowledge, practical insights, and awareness of emerging diagnostic approaches in cancer detection.

Key Features

Provides a comprehensive overview of State-of-the-art spectral analysis techniques for cancer diagnostics Includes in-depth analysis of early cancer detection methodologies Covers modern blood, urine, and saliva-based cancer detection approaches Discusses current challenges and clinical translation potential Explores future trends such as the role of deep learning in cancer diagnostics