2017
DOI: 10.1111/jmg.12245
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The strain‐dependent spatial evolution of garnet in a high‐P ductile shear zone from the Western Gneiss Region (Norway): a synchrotron X‐ray microtomography study

Abstract: Reaction and deformation microfabrics provide key information to understand the thermodynamic and kinetic controls of tectono‐metamorphic processes, however, they are usually analysed in two dimensions, omitting important information regarding the third spatial dimension. We applied synchrotron‐based X‐ray microtomography to document the evolution of a pristine olivine gabbro into a deformed omphacite–garnet eclogite in four dimensions, where the 4th dimension is represented by the degree of strain. In the inv… Show more

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Cited by 16 publications
(12 citation statements)
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References 77 publications
(214 reference statements)
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“…4a). The sensitivity of the segmentation and interconnectivity analysis to changes in the threshold values was established by repeating the procedure on volumes that were eroded and dilated by one voxel (see Fusseis et al (2012) and Macente et al (2017) for details of the analysis). This procedure yielded error bars on the porosity measurements.…”
Section: Image Processingmentioning
confidence: 99%
“…4a). The sensitivity of the segmentation and interconnectivity analysis to changes in the threshold values was established by repeating the procedure on volumes that were eroded and dilated by one voxel (see Fusseis et al (2012) and Macente et al (2017) for details of the analysis). This procedure yielded error bars on the porosity measurements.…”
Section: Image Processingmentioning
confidence: 99%
“…To quantitatively investigate the textural and chemical heterogeneities developing during deformation and metamorphism partitioning we propose a novel approach integrating X-ray computed microtomography (µ-CT) with X-ray chemical mapping obtained from an Electron MicroProbe Analyzer (EMPA). This procedure combines (1) the quantitative calibration of the X-ray chemical map for selected microdomains using the Q-XRMA (i.e., Quantitative X-Ray Map Analyzer) statistical approach (Ortolano et al, 2018) to determine different compositional regions within the rock and minerals associated to the superposed metamorphic assemblages; (2) the highresolution thin section optical scanning to determine the mineral grain-size distribution and perform the orientation analysis using the Min-GSD (Mineral-Grain Size Distribution) method (Visalli, 2017); and (3) the X-ray µ-CT capability to resolve the three-dimensional (3D) shape and spatial distribution of minerals marking different fabrics in metamorphic rocks (e.g., Denison et al, 1997;Huddlestone-Holmes and Ketcham, 2010;Voltolini et al, 2011;Baker et al, 2012;Sayab et al, 2015;Macente et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…When both methods return similar results, we consider them robust. The procedure of segmentation to extract the garnets and the coronae follows methods from previous studies that image minerals in three dimensions in metamorphic rocks (Denison and Carlson, 1997;Ketcham, 2005;Goergen and Whitney, 2008;Macente et al, 2017). The total volume was processed using only the user-dependent workflow (AvizoFire), as the user-independent algorithm (FiJi) required too much memory on the desktop computer used for the present study.…”
Section: X-ray Microtomography Imaging and Processingmentioning
confidence: 99%