In the last two decades, the impact of 3D imaging technologies on paleontology has been transformative. Techniques such as laser scanning, computed tomography, photogrammetry and finite element analysis (FEA) have enabled detailed morphological and functional studies. FEA is widely used to understand the mechanical performance of biological structures. However, the models are sensitive to input parameters, (eg. material properties), and given the incomplete fossil record, it is essential to validate them. A novel non-contact technique, 3D scanning Laser Doppler Vibrometry (LDV), was used to measure displacement patterns from an alligator mandible, and compute full-field dynamic strain. This data was compared with FE simulations. LDV results are matched by the FE simulations, with high spatial resolution. However, absolute values vary greatly, due to modeling differences and geometric complexities. LDV may not be suitable for validating biological finite element models; or may be better when combined with other strain estimation techniques. Material properties of alligator teeth were examined in detail using nanoindentation, providing detailed ranges of estimates of hardness and Young's modulus across enamel, dentine, and the enamel-dentine junction. Significant variations in mechanical properties, within and between tooth layers were observed, which were then contextualized within the largest comparative framework of dental material properties from 62 taxa, offering insights into the biomechanical diversity and evolutionary adaptations of vertebrates. Results suggest that the material properties vary greatly across different groups and that the functional implications of dental material evolution is likely a complex interplay between phylogeny, dietary adaptations and habitat. Further testing in other groups, and detailed functional studies might help explain how dental tissue complexes contribute to the overall function of the jaw. Photogrammetry has seen significant expansion due to advances in digital imaging and computing, allowing precise 3D reconstructions from 2D images. An app called ‘Pratima3D’ was developed in this study, utilizing Apple's Object Capture API, which streamlines, automates and democratizes the 3D modeling process. Future advancements of the algorithm are expected to further enhance the impact of 3D digitization in research, education, and outreach, providing interactive and immersive learning experiences and broadening public engagement with scientific inquiry.