Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM

Imaging throughput, the number of datasets that can be acquired in a given amount of time, is one of the challenges of laboratory-based 3D X-ray Microscopy (XRM). Acquisition times for high resolution datasets can be hours, which can make the economic case difficult for industrial applications, but also in academia where laboratories need to support their operational costs by charging for instrument access. Furthermore, for in situ experiments, where multiple datasets are acquired under varying conditions, data acquisition times limit the temporal resolution achievable and the number of data points that can practically be collected. A typical workflow consists of sample preparation, scan setup, data acquisition, 3D reconstruction, image processing/segmentation, and analysis. In repetitive workflows, where many similar samples are imaged under equivalent conditions, data acquisition is typically the slowest step.