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Characterizing Heterogeneous Particles with SEM/SDD-EDS Mapping and NIST Lispix

机译:用SEM / SDD-EDS映射和NIST LISPIX表征异构颗粒

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Compositional measurements of microscopic particles by scanning electron microscopy/energy dispersive x-ray spectrometry (SEM/EDS) typically assume particle homogeneity so that a representative EDS spectrum can be collected by continuously bracket scanning the particle (overscanning). Particles are often found to be complex structures comprised of smaller entities that are elementally different, knowledge of which is inevitably lost with particle overscanning. Heterogeneity can be directly visualized with x-ray spectrum image mapping performed in a high resolution thermal field emission gun SEM combined with the silicon drift detector (SDD)-EDS. SDD-EDS is capable of x-ray collection with output count rates in excess of 1 MHz, enabling spectrum image mapping with useful pixel density (128×128 or more), intensity range (8 - 16 bits), and compositional sensitivity (detection to approximately 1 weight percent) with a total time of 3 - 30 s when a high beam current (e.g., 50 nA) is utilized. Spectrum image datacubes can range from 100 Mbyte to several gigabytes. NIST Lispix contains extensive image processing tools to extract spectral and image information from such large datacubes. In addition to particle chemical heterogeneity, spectrum image mapping can directly reveal the effects of geometric factors (size, shape, curvature) that modify x-ray generation and emission from particles and which must be considered in particle quantification calculations.
机译:通过扫描电子显微镜/能量分散型X射线光谱法微观粒子的组成测量(SEM / EDS)通常假定粒子的均匀性,使得代表EDS光谱可通过连续托架扫描颗粒(过扫描)被收集。颗粒通常发现是复杂的结构包括更小的实体是元素上不同的,这知识的不可避免地失去了与颗粒过扫描的。 (SDD)-EDS异质性可以用在高分辨率热场发射枪SEM与硅漂移探测器组合进行X射线光谱像映射可直接观察。 SDD-EDS能够x射线采集与在超过1MHz的输出计数率,使得与有用的像素密度(128×128个或更多),强度范围(8 - 16位)的频谱图像映射,和组成的灵敏度(检测与3的总时间大约为1重量%) - 30秒时具有高的束电流(例如,50 NA)被利用。光谱图像datacubes的范围可以从100字节到数千兆字节。 NIST Lispix包含大量的图像处理工具来提取从这种大datacubes光谱和图像信息。除了粒子化学异质性,频谱图像映射可以直接揭示的几何因素(尺寸,形状,曲率)的影响的是修改的X射线产生和排放从颗粒和必须以粒子的定量计算加以考虑。

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