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