Cargando…
Evaluation of EELS spectrum imaging data by spectral components and factors from multivariate analysis
Multivariate analysis is a powerful tool to process spectrum imaging datasets of electron energy loss spectroscopy. Most spatial variance of the datasets can be explained by a limited numbers of components. We explore such dimension reduction to facilitate quantitative analyses of spectrum imaging d...
Autores principales: | Zhang, Siyuan, Scheu, Christina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7207561/ https://www.ncbi.nlm.nih.gov/pubmed/29136225 http://dx.doi.org/10.1093/jmicro/dfx091 |
Ejemplares similares
-
The eel retina. Receptor classes and spectral mechanisms
Publicado: (1978) -
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues
por: Maturi, Mirko, et al.
Publicado: (2021) -
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping
por: Slator, Paddy J., et al.
Publicado: (2021) -
Processing of spectral X-ray data with principal components analysis
por: Butler, A P H, et al.
Publicado: (2011) -
Composition of cometary particles collected during two periods of the Rosetta mission: multivariate evaluation of mass spectral data
por: Varmuza, Kurt, et al.
Publicado: (2020)