biostudies-literatureUnknown54(Pt 5)Kuhbach MAlexander von Humboldt-StiftungMax-Planck-GesellschaftVolumetric crystal structure indexing and orientation mapping are key data processing steps for virtually any quantitative study of spatial correlations between the local chemical composition features and the microstructure of a material. For electron and X-ray diffraction methods it is possible to develop indexing tools which compare measured and analytically computed patterns to decode the structure and relative orientation within local regions of interest. Consequently, a number of numerically efficient and automated software tools exist to solve the above characterization tasks. For atom-probe tomography (APT) experiments, however, the strategy of making comparisons between measured and analytically computed patterns is less robust because many APT data sets contain substantial noise. Journal of applied crystallography1490-1508https://www.ebi.ac.uk/biostudies/studies/S-EPMC8493626biostudies-literatureOpen and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation.PMC8493626Kuhbach MGault BKasemer MBreen AfalseOpen and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation.Volumetric crystal structure indexing and orientation mapping are key data processing steps for virtually any quantitative study of spatial correlations between the local chemical composition features and the microstructure of a material. For electron and X-ray diffraction methods it is possible to develop indexing tools which compare measured and analytically computed patterns to decode the structure and relative orientation within local regions of interest. Consequently, a number of numerically efficient and automated software tools exist to solve the above characterization tasks. For atom-probe tomography (APT) experiments, however, the strategy of making comparisons between measured and analytically computed patterns is less robust because many APT data sets contain substantial noise. 2021-01-01T00:00:00Z2021 Oct2026-06-15T04:51:56.892Z2025-04-04T14:40:04.921ZS-EPMC84936263466745210.1107/S1600576721008578