Browsing by Author "Seyffer, Judith Miriam"

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Open Access
Research data for: "Analyzing the 3D morphology of particle systems coated by mechano-fusion using micro-CT image data"
(Technische Universität Bergakademie Freiberg, 2026-06-17) Seyffer, Judith Miriam; Gräfensteiner, Phillip; Rieder, Philipp
This dataset contains micro-computed tomography (micro-CT) and high-resolution scanning electron microscopy (SEM) image data of alumina host particles coated with polytetrafluoroethylene (PTFE) guest particles via mechano-fusion, a dry particle coating process. The data supports quantitative analysis of 3D coating morphology using geometric descriptors including coating thickness, surface area coverage, and contact loss. Micro-CT scans of the in epoxy resin embedded particles were acquired with a Zeiss Xradia 510 Versa across two fields of view (upper and lower part) of a 1 mm × 1 mm × 2 mm sample. The dataset includes raw reconstructed image stacks alongside phase-wise, aggregate-wise, and host-only segmentation outputs generated via a hierarchical segmentation pipeline developed as part of the research. SEM images of five polished cross-sections of the same sample were acquired with a Tescan Amber using a backscattered electron detector. An ilastik pixel classification model for SEM image segmentation is also provided. This dataset is associated with the publication "Analyzing the 3D morphology of particle systems coated by mechano-fusion using micro-CT image data."
Open Access
Research data for: "Guest Particle Deformation and Powder Flow Behavior in Mechano-Fusion: Linking Microscopic Structure to Macroscopic Performance"
(Technische Universität Bergakademie Freiberg, 2025-09-09) Seyffer, Judith Miriam
The research data set comprises the process data of mechano-fusion experiments (machine raw data and experiment meta data) and measurement data of different characterization methods (laser diffraction, BET specific surface area, powder flowability) for the investigated particle samples after mechano-fusion. The data corresponds to the publication "Guest Particle Deformation and Powder Flow Behavior in Mechano-Fusion: Linking Microscopic Structure to Macroscopic Performance" by Seyffer et al. (2025). Further information can be found in the provided Readme file and in the corresponding publication.
Open Access
Research data for: "Particle size analysis and beyond - laser diffraction and derived information regarding structures of mechano-fusion coated particles"
(Technische Universität Bergakademie Freiberg, 2026-06-02) Seyffer, Judith Miriam
Laser diffraction (LD) is widely used for the analysis of particle size distribution (PSD). Due to the structure of dry-coated mechano-fusion particle systems, the interpretation of the PSD remains challenging. This study investigates hetero-aggregate coating structures of alumina host particles (median diameter 43.3 μm) with polystyrene guest particles (mean diameter 3.5 μm) in dry LD measurements and how dispersion conditions influence the PSD. Gentle freefall dispersion preserves coating structures and yields a monomodal PSD consistent with expected coated particle size. Differences in the PSD between samples of coated particles prepared under different process conditions are only observed using highintensity dry dispersion. High-intensity dispersion alters the aggregation state by detaching guest particles, leading to bimodal PSD. The plateau values in the cumulative distribution furthermore exceed theoretical guest volume fractions. Experimental measurements are combined with simulations of diffraction patterns and inverse reconstruction. Simulations qualitatively support the experimental findings by linking particle arrangement and deformation to reconstructed PSD features. The apparent overrepresentation is attributed to guest particle deformation and comminution, biasing the volume-weighted PSD. Hence, LD provides more than particle size information: aggregation state, dispersion-induced changes, and guest particle deformation are revealed, enhancing the applicability of LD for quality control of dry-coated hetero-aggregates.
Open Access
Research data for: "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets"
(Technische Universität Bergakademie Freiberg, 2025-03-20) Seyffer, Judith Miriam; Fuchs, Lukas
The data set comprises the micro-CT data for the publication Brands et al. (2025). In a joint work within the 1st funding period of the SPP2364, the three-dimensional distribution of the active ingredient in pharmaceutical tablets is investigated using a segmented CT image data set of a tablet. The data published here contains the raw, reconstructed micro-CT image data after acquisition using the Zeiss Xradia Versa 510. Imaging was performed by stitching five individual, overlapping region of interest scans over the full width of the tablet. Additionally, the data set of the segmented active ingredient particles is included in a downscaled version. Further information can be found in the corresponding publication "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets".