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Use of the scanning electron microscope (SEM) to characterize ores provides mineralogists and metallurgists with invaluable information for the optimisation of processes. Manually obtaining relevant information such as, for example, mineral coatings that may interfere with flotation, mineral separations, the location of values, mineralogical or process reasons for low recovery, etc, can be exhausting and time consuming. For this reason, automated SEM methods for mineralogical characterisation have been devised. These methods rely on qualitative analyses of the samples using EDX or BSD grey levels to classify the phases present. The non-quantitative nature of the analyses means that other techniques, such as electron microprobe analysis (EMPA), must be used in conjunction with the SEM to obtain quantitative information of the sample. To overcome this limitation, Carl Zeiss has devised a method for the quantitative analysis of the mineralogy of any ore or ore-derived processed material; allowing for the full quantitative evaluation of a resource to be performed automatically by the SEM.
Use of the scanning electron microscope (SEM) to characterize ores provides mineralogists and metallurgists with invaluable information for the optimization of processes. Manually 获取 relevant information such as, for example, mineral coatings that may interfere with flotation, mineral separations, the location of values , mineralogical or process reasons for low recovery, etc, can be exhausting and time consuming. For this reason, automated SEM methods for mineralogical characterization have been devised. These methods rely on qualitative analyzes of the samples using EDX or BSD gray levels to classify the phases present. The non-quantitative nature of the analyzes means that other techniques, such as electron microprobe analysis (EMPA), must be used in conjunction with the SEM to obtain quantitative information of the sample. To overcome this limitation, Carl Zeiss has devised a method for the quantitative analysis of the mineralogy of any ore or ore-derived processed material; allowing for the full quantitative evaluation of a resource to be performed automatically by the SEM.