首页|Patent Issued for Correlative multimodal chemical imaging via machine learning ( USPTO 12057304)
Patent Issued for Correlative multimodal chemical imaging via machine learning ( USPTO 12057304)
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NETL
NSTL
News editors obtained the following quote from the background information suppli ed by the inventors:“Chemical imaging such as mass spectrometry imaging (MSI) e nables characterization of chemicalcompositions in a wide range of systems such as biological tissues, functional nanomaterials and polymerblends. For example , mass spectrometry imaging (MSI) can aid in investigating chemical nature of complex systems, providing the ability to simultaneously identify components and p inpoint their distributionacross a sample. Many fields of study can benefit fro m chemical visualization at high spatial resolutione.g., sub-micron spatial res olutions. However, achieving the necessary high spatial resolution to distinguish chemical differences between individual components and generating intact compo nent spectra is still achallenge with any single imaging approach. While mass s pectrometry imaging approaches with high resolutionare being developed, the com bination of spatial and spectral limitations of the existing techniquesmakes th is direct measurement at high spatial resolutions practically infeasible.”
NETL
NSTL
