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Cathodoluminescence and reflected light correlative microscopy for iron ore characterization

机译:用于铁矿石表征的阴极致发光和反射光相关显微镜

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Image analysis aiming at process design or control might be based on several types of microscopy, each providing advantages and limitations. Automated mineralogy systems based on SEM are dominant for ore characterization, but there are relevant cases where such systems cannot perform the required characterization, as iron ores and complex multi-metallic rare-earth ores.The characterization of iron ores is typically performed using reflected light microscopy. Optical image analysis systems can recognize most common iron-bearing minerals, but the discrimination between quartz, other transparent gangue minerals and the embedding resin is very tough.Here we present a correlative microscopy setup that combines reflected light and cathodoluminescence. The correlated use of reflected light and cathodoluminescence signals provided contrast to discriminate epoxy resin from transparent minerals allowing the segmentation and measurement of gangue minerals and iron oxides in an iron ore sample. The obtained results were validated in comparison to measurements from SEM images of the same fields.
机译:瞄准过程设计或控制的图像分析可能基于几种类型的显微镜,每个显微镜都提供优点和限制。基于SEM的自动化矿物学系统是矿石表征的主导,但是存在有相关的情况,其中这种系统不能执行所需表征,作为铁矿石和复杂的多金属稀土矿石。铁矿石的表征通常使用反射光进行显微镜。光学图像分析系统可以识别大多数常见的含氧矿物质,但石英之间的歧视,其他透明兆头矿物质和嵌入树脂非常韧。我们呈现了相结合反射光和阴极发光的相关显微镜设置。反射光和阴极发光信号的相关性提供了对比度与透明矿物质的鉴别环氧树脂进行对比度,允许在铁矿石样品中分段和测量甘蓝矿物和氧化铁。与来自相同领域的SEM图像的测量相比,验证了所获得的结果。

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