Integration and analysis of optical and SEM-based microscopy for automated mineralogical characterisation

Hartner, Richard, Walters, Steve G. and Berry, Ron (2011). Integration and analysis of optical and SEM-based microscopy for automated mineralogical characterisation. In: Maarten A.T.M. Broekmans, 10th lCAM Proceedings. 10th International Congress for Applied Mineralogy, Trondheim, Noway, (319-326). 1-5 August 2011.

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Author Hartner, Richard
Walters, Steve G.
Berry, Ron
Title of paper Integration and analysis of optical and SEM-based microscopy for automated mineralogical characterisation
Conference name 10th International Congress for Applied Mineralogy
Conference location Trondheim, Noway
Conference dates 1-5 August 2011
Proceedings title 10th lCAM Proceedings
Place of Publication Trondheim, Noway
Publisher International Congress for Applied Mineralogy
Publication Year 2011
Sub-type Fully published paper
ISBN 9788273851390
Editor Maarten A.T.M. Broekmans
Start page 319
End page 326
Total pages 8
Collection year 2012
Language eng
Formatted Abstract/Summary Digital optical microscopy (DOM) and automated scanning electron microscopy (ASEM)-based mineralogy systems (MLA, QEMSCAN) have undergone significant developments within the last decade. However, the two mineralogical techniques have not yet been integrated to combine the strengths of both analytical platforms. Major advances in DOM in the last few years have provided important new capabilities with potential applications to automated mineralogy. The advent of DOM offers significantly more automated mineralogy capabilities than traditional expert-mineralogist driven optical microscopy.

This current research involves non-linear image registration and transfer of mineralogical identification from ASEM to DOM systems using sophisticated image manipulation and data analysis software. Data integration involves creation of a library linking optical property variability data with mineral identification using ASEM, thus reducing reliance on skilled manual optical mineral identification. Image fusion is demonstrated using an example where sulphides are mapped and classified using ASEM combined with gangue mineralogy obtained from DOM images.
Keyword Integrated microscopy
Digital optical microscope (DOM)
Automated SEM-based mineralogy system (AEM)
Image registration
Automated minernlogy
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 16 Aug 2011, 15:00:07 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre