INCAMineral automatically analyses grains over a large area of the sample, typically several square centimetres.

Because of the resolution achieved, information on individual grains is available from the same acquisition.

  • Samples can be either grain mounts or polished sections
  • Particles, and the grains within them, are detected using the atomic number contrast derived from a backscattered electron image
  • A combination of X-ray data, morphological data from the BSE image is used to identify the minerals
  • Both morphological and phase information in each grain is stored in a database from which it can be retrieved and re-analysed in greater detail at any time
  • Phase identification can be made by X-ray spectrum matching, but, even better, by real-time full quantitative analysis during the acquisition. This delivers the accuracy needed to distinguish chemically similar phases
  • The relationship between the individual grains and the parent particles is maintained for further post-processing
  • The post-processing module provides direct and convenient access to the data via a graphical user interface
  • Information is provided for individual grains as well as statistical information over the whole sample: mineral abundance, mineral associations, liberation and locking, grain size distributions as well as cumulative liberation yield graphs
Congratulations to Dr Kate A. Ross for winning the 2018 Lee Osheroff Richardson (LOR) Science Prize for North and S…
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