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
Table of Contents:
Preface
Editor biograpies
List of contributors
1 Hyperspectral microscopic imaging in cancer research
2 Advancing oral cancer detection through hyperspectral imaging and deep learning techniques
3 Fourier transform infrared (FTIR) spectroscopy as a tool for the diagnosis of cancer
4 Advancing trustworthy virtual staining in histopathology using infrared spectroscopic imaging
5 Blood-based diagnosis via spectroscopic techniques for oncology
6 Raman spectroscopy: a potential tool for cancer analysis
7 Optical biopsy and chemometrics for skin cancer diagnostics
8 Hyperspectral imaging and histology with Raman spectroscopy
9 Serum Raman spectroscopy-based biomedical diagnostics
10 Innovative phototherapy approaches for cancer diagnosis with surface-enhanced Raman scattering guidance
About the Author :
Inbarasan Muniraj received his Ph.D. in Optical Engineering from University College Dublin (UCD) in 2016. Following postdoctoral research at UCD and industry experience at Intel, Ireland, he served as an Assistant Professor at SRM University AP and Alliance University, India. His research focuses on non-invasive optical imaging, including 4D light field imaging, digital holographic microscopy, and biomedical imaging. He has authored over 75 peer-reviewed publications and presented at leading international conferences.
Bryan Hennelly received his Ph.D. from University College Dublin in 2005 in optical engineering and computational imaging. After postdoctoral and extensive industry experience, he joined Maynooth University, where he established a Biophotonics laboratory. He was awarded a Science Foundation Ireland Starter Research Grant and currently works on automated microscopy and spectroscopy systems for early bladder cancer diagnosis using holographic microscopy and Raman microspectroscopy. He has authored over 100 publications and collaborates widely with academia and industry.
