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@ARTICLE{Alfeld:312219,
      author       = {Alfeld, Matthias and Wahabzada, Mirwaes and Bauckhage,
                      Christian and Kersting, Kristian and Wellenreuther, Gerd and
                      Barriobero-Vila, Pere and Requena, Guillermo and Boesenberg,
                      Ulrike and Falkenberg, Gerald},
      title        = {{N}on-negative matrix factorization for the near real-time
                      interpretation of absorption effects in elemental
                      distribution images acquired by {X}-ray fluorescence
                      imaging},
      journal      = {Journal of synchrotron radiation},
      volume       = {23},
      number       = {2},
      issn         = {1600-5775},
      address      = {Chester},
      publisher    = {IUCr},
      reportid     = {PUBDB-2016-05391},
      pages        = {579 - 589},
      year         = {2016},
      note         = {(c) International Union of Crystallography. Post referee
                      full text in progress.},
      abstract     = {Elemental distribution images acquired by imaging X-ray
                      fluorescence analysis can contain high degrees of redundancy
                      and weakly discernible correlations. In this article near
                      real-time non-negative matrix factorization (NMF) is
                      described for the analysis of a number of data sets acquired
                      from samples of a bi-modal $\alpha$+$\beta$ Ti-6Al-6V-2Sn
                      alloy. NMF was used for the first time to reveal absorption
                      artefacts in the elemental distribution images of the
                      samples, where two phases of the alloy, namely $\alpha$ and
                      $\beta$, were in superposition. The findings and
                      interpretation of the NMF results were confirmed by Monte
                      Carlo simulation of the layered alloy system. Furthermore,
                      it is shown how the simultaneous factorization of several
                      stacks of elemental distribution images provides uniform
                      basis vectors and consequently simplifies the interpretation
                      of the representation.},
      cin          = {FS-PE / DOOR},
      ddc          = {540},
      cid          = {I:(DE-H253)FS-PE-20120731 / I:(DE-H253)HAS-User-20120731},
      pnm          = {6215 - Soft Matter, Health and Life Sciences (POF3-621) /
                      6G3 - PETRA III (POF3-622) / CALIPSO - Coordinated Access to
                      Lightsources to Promote Standards and Optimization (312284)},
      pid          = {G:(DE-HGF)POF3-6215 / G:(DE-HGF)POF3-6G3 /
                      G:(EU-Grant)312284},
      experiment   = {EXP:(DE-H253)P-P06-20150101},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000371387900025},
      pubmed       = {pmid:26917147},
      doi          = {10.1107/S1600577515023528},
      url          = {https://bib-pubdb1.desy.de/record/312219},
}