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• W2134737650 abstract "Ga+ Focused Ion Beam-Scanning Electron Microscopes (FIB-SEM) have revolutionised the level of microstructural information that can be recovered in 3D by block face serial section tomography (SST), as well as enabling the site-specific removal of smaller regions for subsequent transmission electron microscope (TEM) examination. However, Ga+ FIB material removal rates limit the volumes and depths that can be probed to dimensions in the tens of microns range. Emerging Xe+ Plasma Focused Ion Beam-Scanning Electron Microscope (PFIB-SEM) systems promise faster removal rates. Here we examine the potential of the method for large volume serial section tomography as applied to bainitic steel and WC–Co hard metals. Our studies demonstrate that with careful control of milling parameters precise automated serial sectioning can be achieved with low levels of milling artefacts at removal rates some 60× faster. Volumes that are hundreds of microns in dimension have been collected using fully automated SST routines in feasible timescales (<24 h) showing good grain orientation contrast and capturing microstructural features at the tens of nanometres to the tens of microns scale. Accompanying electron back scattered diffraction (EBSD) maps show high indexing rates suggesting low levels of surface damage. Further, under high current Ga+ FIB milling WC–Co is prone to amorphisation of WC surface layers and phase transformation of the Co phase, neither of which have been observed at PFIB currents as high as 60 nA at 30 kV. Xe+ PFIB dual beam microscopes promise to radically extend our capability for 3D tomography, 3D EDX, 3D EBSD as well as correlative tomography." @default.
• W2134737650 created "2016-06-24" @default.
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• W2134737650 date "2016-02-01" @default.
• W2134737650 modified "2023-10-14" @default.
• W2134737650 title "Large volume serial section tomography by Xe Plasma FIB dual beam microscopy" @default.
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• W2134737650 doi "https://doi.org/10.1016/j.ultramic.2015.11.001" @default.
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• W2134737650 hasPublicationYear "2016" @default.
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