Electron Microscopy Sciences
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ZEISS Mineralogic 3D uses X-Ray absorption imaging and sophisticated machine learning protocols to consistently identify phases and textures on ZEISS Xradia X-Ray microscope or microCT platforms.
Individual particles are identified, analyzedand classified automatically, yielding a variety of useful results like modal mineralogy, porosity, volume, feret dimensional measurements, associationsand liberation.
Investigate the sample in its natural state, categorizing mineralogy and measuring parameters in 3D for a better understanding of its mineral relationships, compositionand texture.
With simple sample handling, the user can increase the analysis efficiency by eliminating the need to mechanically modify the samples to expose flat surfaces.
Non-destructive imaging allows for the examination of valuable samples or the creation of correlative workflows.
Non-Destructive 3D X-Ray
Mineralogic 3D integrates X-Ray microscopy with sophisticated machine learning to offer a true measurement of the sample without obscured phases of interest.
Image Credit: Carl Zeiss Microscopy GmbH
Machine Learning Segmentation
Helps pinpoint each particle and examines it individually eliminating the need for additives or manual separation.
Image Credit: Carl Zeiss Microscopy GmbH
Insightful Data
Mineralogic 3D standard outputs include bulk mineralogy, liberations, morphological measurements and associations.
Image Credit: Carl Zeiss Microscopy GmbH
Mineralogic 3D
High Resolution Automated Mineralogy in 3D
3D mineralogy is a game-changing technological advancement that drastically reduces the time it takes to get actionable data.
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