No abstract

X-ray mapping by EDS techniques of rough samples or samples with a complex topographic surface is more difficult than mapping relatively smooth surfaces. The problem of the sample with a rough surface arises because a lower intensity of an element, or even no intensity, can either mean the absence of that element or it can mean the element has a significant presence but the area can not be "viewed" by the EDS detector (Fig. 1). This problem or ambiguity can be partially solved by the use of a second detector which would ideally have an opposing view. The use of a second detector still presents some problems of interpretation in that there is a contrast artifact arising from the fact that some areas of the sample produce x rays which can be received by both detectors, while the x rays from other areas are detected by only one or by neither of the two detectors [1]. This artifact originates from the simple summing of the x rays from the two detectors (Fig. 1c). A method is presented that can work around this problem and will provide a better interpretation of the chemical variability within the sample.When two detectors are used each detector will have its own spectral map dataset or data cube and the two datasets are merged in a variety of ways to produce a third dataset. The merging can be done by the summing or averaging of the spectral data at each pixel (Fig. 1c). A preferred method would be to merge only the spectral information from the detector that had the most counts at each pixel and to ignore the counts from the detector that had a lower, or a much lower intensity (Fig. 1d). Although it might seem counter-intuitive that some data should be discarded, this eliminates most of the problem of the contrast artifact and will tend to equalize the contrast between areas that are able to have x rays counted by both detectors as compared to those areas where the x rays are seen by only one detector. The contrast artifact is often greatly diminished but not completely eliminated by selecting the information from the detector with the maximum intensity. The chemical contrast may be enhanced as compared to topographic effects by an additional normalization step. The normalization procedure that has been used to a positive effect is a full quantification (ZAF Wt. %) of the merged map data (Fig. 2).There is still a need to either eliminate the data for the pixels that are shadowed in the view of both detectors or to indicate in some way that the data in the maps for these regions are not reliable (note the noisy data in Fig. 2a from some of the voids). A map can be created from the summing of all counts of all energies on a pixel by pixel basis for each detector and these maps can be summed for the 2 detector case. Dark areas of this map represent areas in the shadow of both detectors. If the map is inverted and rendered as a binary image, it can be used as an overlay against a single map or with several maps (Figs. 1 and 2) and the "null" areas where no x rays are detected will be shown in white. When overlain with ...

This study�s aim was to bring to light part of the hidden secrets of some important and valuable historical textiles beautifully adorned with precious metal threads, medieval gold brocaded velvet fragments and court vestments, which are preserved in the treasury collections of some of the most important monasteries and museums in our country. These precious metal thread textiles, includes historical and artistic information, as well as important scientific data regarding the materials and techniques used, their origin, provenience and dating, information that being revealed, have harmoniously blended and intertwined.

In the present study, golden threads from two, apparently identical, medieval epitrachelions considered masterpieces of the Romanian Byzantine embroidery art, were investigated by using Micro-Particle Induced X-ray Emission (micro-PIXE) and optical microscopy. PIXE measurements allowed to accurate identify the elemental composition, distribution of the trace elements, the layered structures (depth profiling) and thicknesses of the gold layer. Useful information for the characterization of the gilded silver threads due to elemental maps concerning the constituent elements spatial distribution in the sample was also obtained.