2026-10-06T16:33:02Zhttps://www.radar-service.eu/oai/OAIHandler

10.35097/36e7kxpvmcdah8k22026-06-02T04:40:36Zradar4kit

https://dx.doi.org/10.35097/36e7kxpvmcdah8k2 Almeida de Campos, Leonardo Sheppard, Thomas Lennon Grunwaldt, Jan-Dierk PEM 2D XRF Analysis Software for Catalyst-Coated Membrane Cross-Sections Karlsruhe Institute of Technology 2026 Chemistry dataset Software info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode This dataset contains a Python/PyQt6-based graphical user interface for processing, visualizing, segmenting, and quantifying X-ray fluorescence (XRF) maps of PEM water electrolysis catalyst-coated membrane (CCM) cross-sections. The workflow allows the loading and visualization of processed XRF TIFF stacks and individual TIFF images, where each map corresponds to the spatial distribution of an elemental fluorescence or absorption-contrast signal within a CCM cross-section. The software includes tools for displaying Pt and Ir emission maps, extracting TIFF stack channel names, applying thresholding methods, generating binary masks, segmenting Nafion-rich membrane regions and catalyst-containing layers, and producing publication-style plots. Implemented thresholding options include: Manual thresholding Minimum thresholding Triangle thresholding Otsu thresholding The workflow also includes tools for fine-tuning the membrane segmentation, filtering dust or high-intensity artefacts, applying multi-Otsu segmentation to Nafion regions, and generating diagnostic plots such as emission maps, binary masks, segmented maps, histograms, and 3D intensity visualizations. In addition, the software provides a thickness-estimation workflow based on absorption-contrast images. The resulting thickness maps can be used for thickness-corrected quantification of elemental distributions within the membrane or catalyst-coated regions. The script was developed using PEM water electrolysis CCM cross-section datasets as reference; therefore, the default variables, plotting settings, segmentation parameters, and quantification workflow follow this example application. However, these parameters can be modified and adapted to other compatible XRF map datasets. Input data should consist of processed XRF maps exported in a compatible TIFF format, where each image or stack channel represents an elemental emission signal or absorption-contrast signal. This repository represents the archived version associated with the corresponding scientific work. The actively maintained version of the code is available in the linked GitHub repository. LINK: "https://github.com/Leonardolac97/PEM-XRF-evaluator/" The workflow is implemented as a Python/PyQt6 graphical user interface and uses processed XRF TIFF maps as input. Data can be loaded from local directories and used to generate Pt and Ir emission-map figures, binary masks, segmented Nafion and catalyst-layer regions, membrane-thickness maps, elemental quantification maps, histograms, 3D intensity plots, and exported publication-quality figures. The software was prepared using PEM water electrolysis catalyst-coated membrane cross-sections as an example dataset. Element names, TIFF stack channel order, plotting parameters, threshold values, segmentation settings, calibration factors, thickness-conversion parameters, and output paths can be modified by the user to accommodate other compatible XRF datasets. XRF X-ray fluorescence PEM water electrolysis PEMWE MEA PEM catalyst-coated membrane CCM Nafion Pt Ir membrane thickness image segmentation quantitative mapping data analysis https://publikationen.bibliothek.kit.edu/1000193677 application/x-tar