Processing X-ray Fluorescence Tomography Data With XRFtomo

X-ray fluorescence imaging coupled with tomography allows scientists to map elemental distributions in three dimensions and recover internal information without physically disturbing a given sample. In addition to an x-ray light source, imaging and positioning instruments for data acquisition, software is needed to perform image registration and reconstruct a 3D image from a set of 2D projections. To facilitate such 3D data analysis and reconstruction, we have developed a python package named XRFtomo based on an data analysis workflow presented earlier XRFtomo brings together a variety of image processing tools used for preparing, processing and reconstructing 3D renditions of samples imaged using a synchrotron-based x-ray fluorescence (XRF) microprobe or nanoprobe at the Advanced Photon Source (APS).