4.2 Article

Automated mineralogy and petrology - applications of TESCAN Integrated Mineral Analyzer (TIMA)

期刊

JOURNAL OF GEOSCIENCES
卷 63, 期 1, 页码 47-63

出版社

CESKA GEOLOGICKA SPOLECNOST
DOI: 10.3190/jgeosci.250

关键词

TIMA; Automated SEM/EDS; applied mineralogy; modal analysis; artificial intelligence; neural networks

资金

  1. Strategie AV21/4 project
  2. SGS Minerals

向作者/读者索取更多资源

The collection of representative modal mineralogy data as well as textural and chemical information on statistically significant samples is becoming essential in many areas of Earth and material sciences. Automated Scanning Electron Microscopy (ASEM) systems provide an ideal solution for such tasks. This paper presents the methods and techniques used in the recently developed TESCAN Integrated Mineral Analyzer (TIMA-X) with Version 1.5 TIMA software. The benefits from the use of a fully integrated quantitative energy-dispersive X-ray spectrometry (EDS) and an advanced statistical approach to ASEM systems are demonstrated. Typically, the system can handle more than 500,000 X-ray events per second. Using a common spectral total of 1000 events this represents the acquisition of 500 spectra per second. A number of measurement modes is available to make the most effective use of these spectra depending on the application. For a back-scattered electrons (BSE) map combined with EDS data with spatial resolution of 10 mu m, this represents the high-resolution measurement of c. 1 cm(2) of a thin section or a polished rock surface in 30 minutes. A patented X-ray spectrum clustering algorithm that lowers the chemical detection limit is described and an example of its use is shown. The modal and textural (liberation, association, size etc.) data produced are statistically robust and provide information across a broad range of Earth and material sciences. A comparison with some other available instruments is also provided together with a number of case studies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据