Quantitative hyperspectral tomography: development and application to phase change memories
Published : 13 December 2016
The increasing complexity of nanomaterials requires the use of state-of-the-art transmission electron microscopes (TEM) for structural, morphological and chemical analysis at the nanoscale. With recent advances in instrumentation, much effort is being devoted to the development of analytical electron tomography, a 3D technique based on spectroscopic modes such as electron energy loss spectroscopy (EELS) and energy dispersive X-ray spectroscopy (EDX). Simultaneous acquisition of both modes is nowadays possible yielding comprehensive information about the nanomaterials. The technique relies on the acquisition of a hyperspectral datacube at every tilt angle, resulting in long acquisition times and very large datasets.
The aim of this thesis is to develop an interface for hyperspectral processing including novel methods for denoising, reconstruction and data fusion (EDX/EELS/HAADF-STEM) with the aim to achieve fully quantitative spectroscopic reconstructions. These tools will then be used for the 3D analysis of complex nanostructures such as phase change memories.
The student will be based in the nanocharacterization platform (PFNC) at CEA-Grenoble.