Speaker
Description
Advanced materials such as energy materials, catalysts, and biological materials like bone have complex hierarchical structures spanning several length scales where chemical elements are organized in a spatial heterogeneous fashion. Understanding these materials requires the ability to map both their structural and elemental composition with high spatial resolution. The current meshct scan in Sardana enables users to perform continuous scanning over relatively large sample areas. However, its functionality is limited to rectangular scan geometries, which is inefficient when the region of interest within a sample has an arbitrary shape. As a result, significant time is spent scanning both the sample and irrelevant surrounding areas, with total scan duration often ranging from one to several hours. To address this limitation and enhance scanning efficiency, a new scan macro, imeshct, has been developed based on the existing meshct. This improved version allows scientists to define and scan custom-shaped areas tailored to specific experimental needs. The implementation of imeshct has demonstrated a potential reduction in scan time by up to 50%, significantly increasing the overall efficiency of experimental workflows.
