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Author |
Kindratenko, V.V.; van Espen, P.J.M.; Treiger, B.A.; Van Grieken, R.E. |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Fractal dimensional classification of aerosol particles by computer-controlled scanning electron microscopy |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 Journal article |
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Year |
1994 |
Publication |
Environmental science and technology |
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Volume |
28 |
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Pages |
2197-2202 |
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Keywords |
A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3) |
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Wos |
A1994PP82900033 |
Publication Date |
2007-05-30 |
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ISSN |
0013-936x; 1520-5851 |
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UA library record; WoS full record; WoS citing articles |
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Call Number |
UA @ admin @ c:irua:9497 |
Serial |
7983 |
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Author |
Cabal Rodríguez, A.E.; Leyva Pernia, D.; Schalm, O.; van Espen, P.J.M. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
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Title |
Possibilities of energy-resolved X-ray radiography for the investigation of paintings |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 Journal article |
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Year |
2012 |
Publication |
Analytical and bioanalytical chemistry |
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Volume |
402 |
Issue |
4 |
Pages |
1471-1480 |
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Keywords |
A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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Abstract |
X-ray radiographic images of paintings often show little or no contrast. In order to increase the contrast in radiographic images we measured the X-ray spectrum of a low power X-ray tube, after passing through the painting, with a high energy-resolution SDD detector. To obtain images, the detector is collimated with a 400 mu m diameter pinhole and the painting was moved through the beam in the x and y-direction using a dwell time of a few seconds per pixel. The data obtained consists of a data cube of, typically, 200 x 200 pixels and a 512-channel X-ray spectrum for each pixel, spanning the energy range from 0 to 40 keV. Having the absorbance spectrum available for each pixel, we are able, a posteriori, to produce images by edge subtraction for any given element. In this way high contrast, element-specific, images can be obtained. Because of the high energy-resolution a much simpler edge subtraction algorithm can be applied. We also used principal-component imaging to obtain, in a more automated way, images with high contrast. Some of these images can easily be attributed to specific elements. It turns out that preprocessing of the spectral data is crucial for the success of the multivariate image processing. |
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000299842000008 |
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2011-07-14 |
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1618-2642; 1618-2650 |
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UA library record; WoS full record; WoS citing articles |
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Call Number |
UA @ admin @ c:irua:96200 |
Serial |
8394 |
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Permanent link to this record |