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@ARTICLE{Mak:207281,
author = {Mak, Rachel and Lerotic, Mirna and Fleckenstein, Holger and
Wild, Stefan M. and Leyffer, Sven and Sheynkin, Yefim and
Jacobsen, Chris and Vogt, Stefan},
title = {{N}on-{N}egative {M}atrix {A}nalysis for {E}ffective
{F}eature {E}xtraction in {X}-ray {S}pectromicroscopy},
journal = {Faraday discussions},
volume = {171},
issn = {1364-5498},
address = {Cambridge [u.a.]},
publisher = {Soc.},
reportid = {PUBDB-2015-01264},
pages = {357 - 371},
year = {2014},
abstract = {X-Ray absorption spectromicroscopy provides rich
information on the chemical organization of materials down
to the nanoscale. However, interpretation of this
information in studies of “natural” materials such as
biological or environmental science specimens can be
complicated by the complex mixtures of spectroscopically
complicated materials present. We describe here the
shortcomings that sometimes arise in previously-employed
approaches such as cluster analysis, and we present a new
approach based on non-negative matrix approximation (NNMA)
analysis with both sparseness and cluster-similarity
regularizations. In a preliminary study of the large-scale
biochemical organization of human spermatozoa, NNMA analysis
delivers results that nicely show the major features of
spermatozoa with no physically erroneous negative weightings
or thicknesses in the calculated image.},
cin = {FS-CFEL-1},
ddc = {540},
cid = {I:(DE-H253)FS-CFEL-1-20120731},
pnm = {Experiments at CFEL (POF2-544)},
pid = {G:(DE-H253)POF2-CFEL-Exp.-20130405},
experiment = {EXP:(DE-H253)CFEL-Exp-20150101},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000345529900019},
pubmed = {pmid:25415133},
doi = {10.1039/C4FD00023D},
url = {https://bib-pubdb1.desy.de/record/207281},
}