Reducing Supervision of Quantitative Image Analysis of Meteorite Samples

Area of Science:

• Geoscience and Analytical Chemistry
• Mineralogy and Petrology
• Materials Science

Background:

• Determining modal mineralogy and elemental composition of geological samples requires careful method selection.
• Factors influencing method choice include sample quantity, chemical variability, and time constraints for acquisition and processing.

Purpose of the Study:

• To present a novel method for analyzing geological samples that minimizes acquisition time.
• To maintain the ability to distinguish minerals using electron probe micro-analyzer (EPMA) X-ray element maps.
• To develop an adaptable post-processing algorithm with minimal supervision.

Main Methods:

• Utilized combinations of X-ray element map intensities from EPMA.
• Developed a parameterized, X-ray intensity 'map math' algorithm for post-processing.
• Integrated laser ablation methods for precise calibration of analysis locations.

Main Results:

• The proposed method significantly decreases analysis time by minimizing acquisition and post-processing supervision.
• The algorithm's adaptability allows for a wider range of potential applications in geological sample analysis.
• Mineral distinction based on X-ray map intensity combinations was successfully achieved.

Conclusions:

• This EPMA-based method offers an efficient approach to determining modal mineralogy and elemental composition.
• The adaptable algorithm and reduced supervision enhance its practical utility for geoscientists.
• Method selection remains contingent on specific research questions and analytical goals.