research Data-driven EELS tomography Combining feature extraction and electron tomography to resolve three-dimensional nanoscale plasmonic fields. Data-driven microscopy analysis Unsupervised learning for identifying meaningful spectral and structural variation in multidimensional electron-microscopy data. Concurrent 4D-STEM–EDX analysis Correlative diffraction, spectroscopy, and profile analysis for beam-sensitive and structurally complex materials. software CAETomo A Python and Streamlit workflow for EELS tomography, from tilt-axis alignment and feature-map tilt-series generation to tomographic reconstruction. DR-assisted Cluster Analysis Unsupervised dimensionality-reduction and clustering tools for extracting meaningful features from multidimensional microscopy datasets. SENDePSIC Atomic-structure analysis tools for three-dimensional radial-average and radial-variance profile datasets, including concurrent 4D-STEM–EDX workflows. 4D-STEM Processing and Visualization Analysis and visualisation tools for four-dimensional STEM datasets, including structural and phase-sensitive imaging workflows. Python-integrated GMS 3 Tools Basic Python and DigitalMicrograph-script tools for multidimensional STEM data processing in Gatan Microscopy Suite 3.