Synchrotron Nanoscale Computed Tomography Workflow for Ni-YSZ Electrodes

A workflow document describes methods for acquiring and processing synchrotron X-ray nanoscale computed tomography (nano-CT) data from Nickel-Yttria-Stabilized Zirconia (Ni-YSZ) fuel electrodes. The document, authored by Michael J. Dzara and last updated on 2026-05-25, details steps from data acquisition to 3D reconstruction, with emphasis on image alignment using freely available software. It aims to address the scarcity of 3D microstructural data needed to study performance degradation in solid oxide electrolysis and fuel cells.

Use Cases

• Developing image processing pipelines for synchrotron nano-CT data based on the described workflow steps.
• Studying Ni redistribution and microstructural evolution in fuel cell electrodes based on the 3D reconstruction goal.
• Adapting alignment and reconstruction parameters for other nano-CT datasets based on the generalized decision points.
• Benchmarking compute times for high-contrast, low-noise 3D data generation based on the parametric sweep results.

Strengths

• The workflow is documented in a 15.7 MB DOCX file, providing detailed procedural steps.
• Emphasis is placed on using freely available software for the image alignment step.
• Results reportedly yield high contrast and low signal-to-noise data with relatively short compute times.

Limitations

• The dataset is a workflow document; the actual 3D image data files are not included.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• The methods may need adaptation for samples with different microstructural qualities, as noted by the author.

Provenance

Source

Michael J. Dzara via figshare.

Collection Method

Workflow for acquiring and processing synchrotron X-ray nanoscale computed tomography data.

Freshness

Last updated 2026-05-25 04:34:49; freshness should be verified.