Non-negative matrix analysis for effective feature extraction in X-ray spectromicroscopy.
Non-negative matrix analysis for effective feature extraction in X-ray spectromicroscopy.
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DOI：
10.1039/c4fd00023d
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发表时间：
2014
影响因子：
3.4
通讯作者：
Jacobsen C
中科院分区：
文献类型：
--
作者：
Mak R;Lerotic M;Fleckenstein H;Vogt S;Wild SM;Leyffer S;Sheynkin Y;Jacobsen C
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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影响因子：
6.1
作者：
Hacker-Klom, UB;Göhde, W;Behre, HM
通讯作者：
Behre, HM
DOI：
10.1046/j.1365-2818.2000.00640.x
发表时间：
2000-02-01
期刊：
JOURNAL OF MICROSCOPY-OXFORD
影响因子：
--
作者：
Jacobsen, C;Wirick, S;Zimba, C
通讯作者：
Zimba, C
影响因子：
2.9
作者：
Kaznacheyev, K;Osanna, A;Hitchcock, AP
通讯作者：
Hitchcock, AP
影响因子：
3.6
作者：
Cho, C;Jung-Ha, H;Eddy, EM
通讯作者：
Eddy, EM
影响因子：
3.3
作者：
Koprinarov, IN;Hitchcock, AP;Childs, RF
通讯作者：
Childs, RF