Trummer Cornelia, Mendez-Martin Francisca, Kothleitner Gerald, Haberfehlner Georg
Graz Centre for Electron Microscopy, Graz, Austria.
Department of Materials Science, Montanuniversität Leoben, Leoben, Austria.
Micron. 2022 May;156:103233. doi: 10.1016/j.micron.2022.103233. Epub 2022 Mar 5.
To identify different types of precipitates and their composition, analytical electron tomography analysis on a needle-shaped sample was performed. Three-dimensional chemical maps from each element in a high alloyed steel are acquired and the resulting elemental maps are jointly reconstructed. Since analytical electron tomography data suffers from noise, total generalized variation regularization is used to improve the reconstruction quality compared to conventional reconstruction techniques. We analyse the influence of regularization parameters on these reconstructions in terms of elemental quantification, and compare these results to atom probe tomography measurements done on another sample of the same material.
为了识别不同类型的沉淀物及其成分，对一个针状样品进行了分析电子断层扫描分析。获取了高合金钢中每种元素的三维化学图谱，并对所得的元素图谱进行联合重建。由于分析电子断层扫描数据存在噪声，与传统重建技术相比，使用全广义变分正则化来提高重建质量。我们从元素定量的角度分析正则化参数对这些重建的影响，并将这些结果与在相同材料的另一个样品上进行的原子探针断层扫描测量结果进行比较。
