Graduate students Veronica Grebe and Mingzhu Liu developed algorithms capable of image analysis for classifying colloidal structures based on abstracted interparticle relationship information and quantitatively analyzing the abundance of each structure in mixed pattern assemblies. One-dimensional and two-dimensional polymorphic crystals are analyzed using the algorithms, and the percent abundance of each particle class is defined. The work is open-source, able to be built upon, and is expected to have use in quantitative analysis of images comprised of ellipsoidal materials, including nanoparticles and biological matter. Check it out here.