TY  - JOUR
AU  - Mak, Rachel
AU  - Lerotic, Mirna
AU  - Fleckenstein, Holger
AU  - Wild, Stefan M.
AU  - Leyffer, Sven
AU  - Sheynkin, Yefim
AU  - Jacobsen, Chris
AU  - Vogt, Stefan
TI  - Non-Negative Matrix Analysis for Effective Feature Extraction in X-ray Spectromicroscopy
JO  - Faraday discussions
VL  - 171
SN  - 1364-5498
CY  - Cambridge [u.a.]
PB  - Soc.
M1  - PUBDB-2015-01264
SP  - 357 - 371
PY  - 2014
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000345529900019
C6  - pmid:25415133
DO  - DOI:10.1039/C4FD00023D
UR  - https://bib-pubdb1.desy.de/record/207281
ER  -