Multimodal Approaches for Real-time Mesoscopic Tissue Differentiation

Multi-modality imaging techniques that integrate sensor data from different domains have shown immense potential in the field of clinical diagnostics. This paper aims to provide a comprehensive approach to delineating surface topology and tissue boundaries resolved at the mesoscopic scale with electrical (bioimpedance), mechanical (force-related haptics) and optical technologies (diffuse correlation spectroscopy and time-domain near-infrared spectroscopy). This preliminary work lays the foundations for comparing and combining next-generation approaches for real-time tissue identification.