Digital Image Correlation (DIC) has emerged as a powerful non-contact optical measurement technique for quantifying full-field displacements and strains. The theoretical basis of DIC is to track surfaces by correlating images taken before and after deformation. Using image processing algorithms, DIC extracts displacements of subsets, allowing the calculation of strain and deformation fields, providing insight into localized behavior and capturing complex deformation patterns. A general distinction is made between 2D-DIC systems (limited to measurements of flat surfaces and in-plane motion), which consist of a single camera, and 3D-DIC systems (capable of analyzing irregularly shaped objects and out-of-plane motion), which consist of synchronized stereo cameras. In recent years, DIC has become increasingly popular for the analysis of biological and bioinspired material systems. However, classical (3D) DIC systems have several limitations. Even when using a stereo camera setup, the field of view is limited to certain areas of the sample, missing a great deal of information, especially for inhomogeneous biological materials. In addition, the simultaneous analysis of multiple samples reduces the spatial resolution of the measurements or makes the analysis of slow, desiccation-driven motions very time consuming. Furthermore, measurements through different media or (several) layers of glass are not feasible with classical DIC algorithms, as their calibration algorithms are based on linear optical rays. Recent advances in DIC techniques include 360° analysis using rotating setups and point clouds to merge individual surface measurements, robotic arm positioning of the stereo camera setup for simultaneous analysis of multiple samples without loss of spatial resolution, and the use of new calibration algorithms to analyze the swelling behavior of samples submerged in water or in environmental chambers. These new approaches offer the opportunity to characterize the behavior of biological materials more comprehensively and efficiently, thus providing a pathway to novel bioinspired functional materials.