MAPS : A set of software tools for analysis and visualization of 3D X-ray fluorescence data sets

Abstract
X-ray fluorescence (XRF) imaging of biological cells typically involves the creation (and subséquent analysis) of 3-dimensional (3D) data sets, where at each scan position the full spectrum is recorded. This allows one to) later process the data in a variety of différent approaches, e.g., by spectral région of interest (ROIn) summation with or without background subtraction, principal component analysis, or fitting. Additionally, it is possible to sum up the per pixel spectra over selected spatial ROIs so as to improve the photon statistics in such a spectrum. A software package is presented here that implements these functions to provide a too) set for the analysis of 3D XRF data sets.