Multimodal Optical Diagnostics of Cancer (2020)

Introduction: Enhancing Detection and Early Cancer Recognition with Multimodal Optical Imaging and Spectral Analysis.- Malignant tissue optics.- Optical clearing of biological tissues: prospects of application for multimodal cancer diagnostics.- Multiparametric analysis of tumor using microscopic fluorescence imaging.- NIRS for brain cancer detection.- Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy.- Multispectral and multimodal fiber sensing in oncology.- Diagnostics of pigmented skin tumors based on laser-induced autofluorescence and diffuse reflectance spectroscopy.- Raman-based molecular imaging and analytics, Surface-enhanced Raman spectroscopy for cancer diagnostics, Raman/CARS/TPEF/SHG multimodal imaging as a pathological screening tool.- In vivo Multimodal Optical Biopsy of Skin Cancer.- Raman hyperspectroscopy and advanced statistics for cancer differentiation.- Intraoperative brain cancer detection with Label-Free Multimodal Optical Spectroscopy.- 3D confocal Raman and two-photon microscopy imaging of the skin.- Multimodal Optical Imaging for Cancer Detection.- Multidimentional and Multilevel Imaging: towards 3D histopathology.- Multimodal OCT for malignancy imaging.- Multimodal texture analysis of OCT tumor images.- Hyperspectral imaging and cancer detection.- Multimodal Deep Imaging using SORS and OCT: for precise cancer boundary detection.- FLIM imaging combined with MRI.- Terahertz spectroscopy of human brain tumor.