Realization of software based imaging energy analyzer on GPU

Abstract Here, the realization of the Filtering the Effect of Chromatic Aberration (FECA) method is presented as Software Based Imaging Energy Analyzer (SBIEA) on an NVIDA Tesla K40 GPU. This method makes possible the correction of chromatic aberration and, therefore, spectrometry, as well as, real- and k-space monochromatic imaging by rapidly calculated spectral image sequences of monochromatic images in light and charged particle optics without the application of additional energy filters. The GPU accelerated realization of this method provides a good solution with reasonable calculation time on large size image sequences and opens new direction toward the better quality monochromatic real- and k-space imaging, as well as, the developments of software based instrumentation. The presented GPU accelerated realization of the FECA-SBIEA method provides promising alternative solution for making fast and accurate monochromatic spectral imaging that can be better than the usually applied electrostatic and magnetic analyzers due to the overlapping effect of different energy images especially in the case of large acceptance angle optics.