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Correction of beam hardening artefacts in microtomography for samples imaged in containers

We explore the use of referenceless multi-material beam hardening correction methods, with an emphasis on maintaining data quality for real-world imaging of geologic materials with a view towards automation. In particular, we consider cases where the sample of interest is surrounded by a container of uniform material and propose a novel container-only pre-correction technique to allow automation of the segmentation process required for such correction methods. The effectiveness of the new technique is demonstrated using both simulated and experimental data.