Multimodal imaging is an advanced methodological approach or research field that integrates and analyzes data acquired from multiple distinct imaging or sensing modalities simultaneously or sequentially. Its key characteristic is the synergistic fusion of complementary information, enabling a more comprehensive characterization than any single modality alone. This approach investigates complex biological or material systems by leveraging the combined strengths of disparate data types, holding significant value in fields like tissue characterization and diagnostics by providing enhanced insights and overcoming the limitations of unimodal techniques.