This study focuses on developing algorithms to connect optical and electron microscopy images with macroscopic stress-strain data and micro deformation data via DIC technique and utilize reverse methods to predict the polycrystals’ mechanical behavior. Such algorithms and techniques aim to bridge the gap between experimental and numerical analysis by utilizing several constitutive laws. The image processing methods, from manual to automatic ways, allowing the discretization of each grain in a microstructural image, as an intermediate step, plays a crucial role at its finest. However, challenges remain at the granular scale, where a comprehensive material law is needed to explain individual grain mechanics. To address this, innovative approaches are required to advance our understanding and bridge the existing gap, as discussed in this case.