This paper presents a highly spatially resolved method for the registration and correlation of intrinsic property maps of materials, including data from a wide variety of techniques, allowing for the study of micron-scale microstructural features. Furthermore, it has the capability to rapidly extract correlations between multiple features of interest from datasets containing thousands of datapoints.
Two case studies are presented in commercially pure titanium, with results showing strong agreement with trends observed in the literature, as well as providing a large dataset to facilitate statistical analysis of microstructure-dependent mechanisms.