Journal Article

PUBDB-2015-01264

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Non-Negative Matrix Analysis for Effective Feature Extraction in X-ray Spectromicroscopy

Mak, R. ; Lerotic, M. ; Fleckenstein, H.CFEL*DESY* ; Wild, S. M. ; Leyffer, S. ; Sheynkin, Y. ; Jacobsen, C. (Corresponding author)>Extern* ; Vogt, S.>Extern*

2014
Soc. Cambridge [u.a.]

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Please use a persistent id in citations: doi:10.1039/C4FD00023D

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.

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Contributing Institute(s):

1. CFEL-Coherent X-Ray Imaging (FS-CFEL-1)

Research Program(s):

1. Experiments at CFEL (POF2-544) (POF2-544)

Experiment(s):

1. Experiments at CFEL

Appears in the scientific report 2014

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Database coverage:
; Allianz-Lizenz / DFG ; Current Contents - Physical, Chemical and Earth Sciences ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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