Over the past decade, ptychography has been proven to be a robust tool for non‐destructive high‐resolution quantitative electron, X‐ray and optical microscopy. It allows for quantitative reconstruction of the specimen's transmissivity, as well as recovery of the illuminating wavefront. Additionally, various algorithms have been developed to account for systematic errors and improved convergence. With fast ptychographic microscopes and more advanced algorithms, both the complexity of the reconstruction task and the data volume increase significantly. PtychoShelves is a software package which combines high‐level modularity for easy and fast changes to the data‐processing pipeline, and high‐performance computing on CPUs and GPUs.

The ability to localize selected chemical elements within individual components of functional matter is of great value to our understanding of material behavior. By means of resonant ptychographic X-ray computed tomography, we here provide such colocalization information with nanoscopic spatial resolution. Spatially correlated quantitative tomograms of electron density and iron concentration allowed the localization of native and feedstock-introduced iron impurities within the primary components of a prominent heterogeneous catalyst. Examinations found no direct evidence in favor of the currently suggested impurity-driven deactivation mechanisms of fluid catalytic cracking catalysts. The majority of iron impurities, present in the form of nanosized magnetite particulates, are found embedded in the outermost layer of an otherwise iron-poor, particle isolating amorphous silica–alumina envelope. Observations query both deactivation driven by impurity pore clogging and iron-impurity induced melting of catalyst components. The presented approach is general, extendable to secondary impurities or materials and spectroscopic ptychographic tomography. Future applications such as active-site localization and speciation in heterogeneous catalysis are envisioned.