Laser Polarization and Autofluorescence Imaging for Biomedical and Clinical Applications addresses the cutting-edge research area of laser and autofluorescence polarimetric visualization combined with sophisticated multi-algorithm digital analysis. This reference meets the urgent need for a unified interdisciplinary resource that systematizes biophysical digital polarization studies of biological tissues and fluids with pathological changes, providing a comprehensive theoretical and practical framework for biomedical diagnostics. The book’s contents span ten detailed parts covering fundamental theories of Mueller-matrix polarimetry, azimuth-invariant mapping methods, advanced Fourier and wavelet transformations, singular analysis, laser-induced autofluorescence polarimetry, and biomedical system architectures. It culminates with clinical application examples demonstrating early diagnostics of malignancies, type 2 diabetes, albuminuria, cholelithiasis, septic conditions, and forensic determinations such as cause and time of death. This reference offers significant benefits to researchers, biomedical engineers, and medical data analysts by delivering a pioneering synthesis of the latest theoretical concepts and multifunctional digital imaging methods. It equips the audience with objective, highly sensitive digital markers essential for accurate, rapid preclinical diagnostics, thereby advancing precision medicine and evidence-based clinical practice in biomedical optics.

• Develops new analytical principles for comprehensive biophysical polarization and autofluorescence imaging
• Describes architecture and operational principles of advanced laser polarimetric diagnostic systems
• Presents multi-algorithmic digital analysis including statistical, correlation, fractal, singular, Fourier, and wavelet methods
• Provides objective digital markers for high-precision preclinical diagnostics of multiple diseases
• Demonstrates clinical applications in cancer, diabetes, albuminuria, septic conditions, and forensic investigations