ArticleMethodsX2026
battery_xct_workflows: extracting quality metrics from X-ray computed tomography of Li-ion cells.
Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
battery_xct_workflows is an open, Python notebook-based method for deriving quantitative quality assurance (QA) metrics from X-ray computed tomography (XCT) of cylindrical Li-ion cells. The workflows target three recurring industrial QA questions: (i) are electrode overhang regions within design tolerance, (ii) is the canister geometry and alignment acceptable, and (iii) is the internal winding uniform and free from gross defects. The method combines preprocessing, segmentation (including optional pre-trained U-Net models), and metric calculation into a series of executable notebooks that can be run locally or via Binder using public example datasets. By packaging data, code, models, and narrative explanations together, this method lowers the barrier to adopting XCT-based QA in both research and industrial settings. Users can reproduce the provided examples, adapt individual steps to their own scanners and cell formats, and extend the notebooks to new metrics while retaining a transparent audit trail.
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