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doi: 10.1039/d0ja00529k
Multivariate t-SNE analysis enables pixel identification with similar X-ray spectra for layer thickness determination and calculation of elemental concentrations.
spectroscopy, pixels, X rays, Data visualization ; Dimensionality reduction ; Image analysis ; Image segmentation ; Ionization ; K-means clustering ; Pixels ; Proton beams ; Reduction ; Spectroscopy ; Stochastic systems ; Trace elements ; X ray tubes ; X rays, stochastic systems, trace elements, K-means clustering, reduction, proton beams, image analysis, Atomic and Molecular Physics, ionization, data visualization, X ray tubes, image segmentation, dimensionality reduction
spectroscopy, pixels, X rays, Data visualization ; Dimensionality reduction ; Image analysis ; Image segmentation ; Ionization ; K-means clustering ; Pixels ; Proton beams ; Reduction ; Spectroscopy ; Stochastic systems ; Trace elements ; X ray tubes ; X rays, stochastic systems, trace elements, K-means clustering, reduction, proton beams, image analysis, Atomic and Molecular Physics, ionization, data visualization, X ray tubes, image segmentation, dimensionality reduction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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