hree-­‐dimensional characterization of fully equiaxed Ti-­‐6Al-­‐4V has been performed using the recently developed TriBeam system. To date, no general model for full prediction of Ti-­‐6Al-­‐4V tensile properties as a function of empirical microstructural parameters exist. To develop such a model would require knowledge about the relevant deformation mechanisms and also detailed information about the microstructure of the material. As a thrust to develop such a model a large three-­‐dimensional dataset was collected, reconstructed and analyzed, in order to extract statistical information about microstructural parameters. It was found that the material contained heavily textured regions with α grain boundaries that have misorientation of 1° to 2° or less. The low grain misorientation angle required segmentation parameter optimization, which included the integration of a grain size filter and a thorough exploration of the segmentation parameter space. The α grains are shown to be volumetrically smaller in textured regions compared to bulk, while β grains showed an even grain volume distribution throughout the structure. The TriBeam system collected the dataset faster than any other available serial sectioning methods and is described in detail with its subsystems and operating conditions. The extracted statistical information is presented in detail numerically and visually in this report.