NeXL is a collection of Julia language packages (libraries) for X-ray microanalysis data processing. NeXLCore provides basic atomic and X-ray physics data and models including support for microanalysis-related data types for materials and k-ratios. NeXLMatrixCorrection provides algorithms for matrix correction and iteration. NeXLSpectrum provides utilities and tools for energy-dispersive X-ray spectrum and hyperspectrum analysis including display, manipulation, and fitting. NeXL is integrated with the Julia language infrastructure. NeXL builds on the Gadfly plotting library and the DataFrames tabular data library. When combined with the DrWatson package, NeXL can provide a highly reproducible environment in which to process microanalysis data. Data availability and reproducible data analysis are two keys to scientific reproducibility. Not only should readers of journal articles have access to the data, they should also be able to reproduce the analysis steps that take the data to final results. This paper will both discuss the NeXL framework and provide examples of how it can used for reproducible data analysis.

Today a wide range of instruments are available for the rapid roughness quantification ofoptical surfaces but especially for three dimensional measurement methods no standardizedprocess is established. This leads to different results, even if the same specimen istested with similar measurement devices. In order to solve this problem an exemplaryprocess development is described in this paper. To do this firstly the term of roughnessis defined as a surface deviation and then the functionality and importance of filters inroughness measurement as well as the used measurement devices are described. The followingchapter defines the used materials and methods which were used during the measurementprocess. In the last part of this paper the results are discussed and a process assignmentis suggested.