Salge et al., 2013 - Google Patents
Advanced mineral classification using feature analysis and spectrum imaging with EDSSalge et al., 2013
View PDF- Document ID
- 5649624753294417350
- Author
- Salge T
- Neumann R
- Andersson C
- Patzschke M
- Publication year
- Publication venue
- Proceedings: International Mining Congress and Exhibition, 23rd, Turkey, UCTEA Chamber of Mining Engineers of Turkey
External Links
Snippet
Developments in energy dispersive X-ray spectrometry (EDS) on scanning electron microscopes (SEM) offer advanced analysis options for quantitative mineralogy and ore characterization. The Silicon Drift Detector (SDD) technology with high pulse throughput …
- 238000001228 spectrum 0 title abstract description 36
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by measuring secondary emission
- G01N23/225—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by measuring secondary emission using electron or ion microprobe or incident electron or ion beam
- G01N23/2251—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by measuring secondary emission using electron or ion microprobe or incident electron or ion beam with incident electron beam
- G01N23/2252—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by measuring secondary emission using electron or ion microprobe or incident electron or ion beam with incident electron beam and measuring excited X-rays
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/07—Investigating materials by wave or particle radiation secondary emission
- G01N2223/076—X-ray fluorescence
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kern et al. | Calculating the deportment of a fine-grained and compositionally complex Sn skarn with a modified approach for automated mineralogy | |
| Neumann et al. | Comprehensive mineralogical and technological characterisation of the Araxá (SE Brazil) complex REE (Nb-P) ore, and the fate of its processing | |
| Triebold et al. | Deducing source rock lithology from detrital rutile geochemistry: an example from the Erzgebirge, Germany | |
| Poller et al. | REE, U, Th, and Hf distribution in zircon from western Carpathian Variscan granitoids: a combined cathodoluminescence and ion microprobe study | |
| Pal et al. | Geochemistry and chemical dating of uraninite in the Jaduguda Uranium Deposit, Singhbhum Shear Zone, India—Implications for uranium mineralization and geochemical evolution of uraninite | |
| Farrokhpay et al. | Characterization of Weda Bay nickel laterite ore from Indonesia | |
| Santoro et al. | Mineralogical characterization of the Hakkari nonsulfide Zn (Pb) deposit (Turkey): The benefits of QEMSCAN® | |
| Smythe et al. | Rare Earth Element deportment studies utilising QEMSCAN technology | |
| Figueroa et al. | Advanced discrimination of hematite and magnetite by automated mineralogy | |
| Pownceby et al. | Mineral characterisation by EPMA mapping | |
| Prêt et al. | A new method for quantitative petrography based on image processing of chemical element maps: Part I. Mineral mapping applied to compacted bentonites | |
| Lee et al. | Geochemistry, zircon U–Pb ages, and Hf isotopic compositions of Precambrian gneisses in the Wonju–Jechon area of the southern Gyeonggi Massif: Implications for the Precambrian tectonic evolution of Korea and northeast Asia | |
| Chen et al. | In situ major and trace element analysis of magnetite from carbonatite-related complexes: Implications for petrogenesis and ore genesis | |
| Butcher et al. | Advances in the quantification of gold deportment by QEMSCAN | |
| Imashuku et al. | Rapid identification of rare earth element bearing minerals in ores by cathodoluminescence method | |
| Salge et al. | Advanced mineral classification using feature analysis and spectrum imaging with EDS | |
| Torpy et al. | Deciphering the complex mineralogy of river sand deposits through clustering and quantification of hyperspectral X-ray maps | |
| Sadiq et al. | REE mineralization in the carbonatites of the Sung Valley ultramafic-alkaline-carbonatite complex, Meghalaya, India | |
| Nikonow et al. | Automated mineralogy based on micro-energy-dispersive X-ray fluorescence microscopy (µ-EDXRF) applied to plutonic rock thin sections in comparison to a mineral liberation analyzer | |
| Benzaazoua et al. | Gold-bearing arsenopyrite and pyrite in refractory ores: analytical refinements and new understanding of gold mineralogy | |
| Imashuku et al. | Identification of monazite and estimation of its content in ores by cathodoluminescence imaging | |
| Johnson et al. | The application of automated electron beam mapping techniques to the characterisation of low grade, fine-grained mineralisation; potential problems and recommendations | |
| Linders | U-Pb geochronology and geochemistry of host rocks to the Bastnäs-type REE mineralization in the Riddarhyttan area, west central Bergslagen, Sweden | |
| Kochergina et al. | Rhenium–osmium isotopes in pervasively metasomatized mantle xenoliths from the Bohemian Massif and implications for the reliability of Os model ages | |
| Salge et al. | Advanced mineral classification using automated feature analysis and spectrum imaging with state-of-the-art silicon drift detectors |