New horizons in quantitative compositional mapping - Analytical conditions and data reduction using XMapTools

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Abstract

Quantitative compositional mapping is a key technique for imaging solids and, therefore, for trying to understand compositional zoning systematics in a broad range of geological materials. Compositional mapping requires an adapted analytical method for efficient data collection, a post-processing calibration stage to obtain elemental concentration values, and specific computer tools for exploring and visualising the data. In this contribution, we describe optimal analytical conditions, possible physical limitations and data reduction strategies for compositional maps of major, minor and trace elements obtained by electron probe microanalysis (EPMA) and laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS). Data reduction is performed using the computer software XMapTools, which incorporates a large variety of options and tools for data processing, data calibration and data visualisation based on single and multi-channel maps or via binary, ternary and spider diagrams.

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Lanari, P., & Piccoli, F. (2020). New horizons in quantitative compositional mapping - Analytical conditions and data reduction using XMapTools. In IOP Conference Series: Materials Science and Engineering (Vol. 891). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/891/1/012016

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