| 摘要 |
An method for generating intra-particle morphological concentration/density maps and histograms of a chemically pure particulate substance. Spectral imaging, in general, and focus-fusion multi-layer spectral imaging, in particular, combined with pattern recognition classification analysis are performed on individual particles for forming sets of single-particle spectral fingerprint data, characterized by single-particle spectral fingerprint spectra. Spectral shifts are identified in the single-particle spectral fingerprint data, for forming intra-particle region groups featuring sub-sets of intra-particle spectral fingerprint pattern data, each characterized by an intra-particle spectral fingerprint pattern spectrum. Each intra-particle region group is associated with different types of intra-particle morphological regions, where each region type is associated with a surface concentration value and a density value of the chemically pure substance in that imaged particle, for forming intra-particle morphological concentration/density data, which is used for generating an intra-particle morphological concentration/density map. A morphological concentration/density histogram, or frequency distribution, is generated from the intra-particle morphological concentration/density data, for illustrating global morphological distribution of concentration, and density of the chemically pure substance throughout the entire multi-particle substance.
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