Your mineral identification ambitions realized non-destructively

ZEISS Phase Identifier 3D

The Game Has Changed

The phrase "automated mineralogy" has been synonymous with the use of scanning electron microscopes (SEM) for decades. The classification of minerals using SEM-based energy dispersive spectroscopy (EDS) chemical measurements has been the only method for rapid, automated phase ID in microscopy.

Now, ZEISS Phase Identifier 3D applies non-destructive X-ray-microscopy techniques and deep learning algorithms to execute automated mineralogy in 3D. Mineral classification and particle identification are performed alongside customizable data outputs including true grain size/shape and mineral association measurements.

Standard Reconstruction: A grayscale cross-section image of a sample, showing internal structure. It is based on 301 projections and has a scan time of 53 minutes, with a scale bar indicating 100 µm.
DeepRecon Pro 1: A grayscale cross-section image of a sample, processed with DeepRecon Pro, appearing sharper and with less noise than the standard reconstruction. It is also based on 301 projections and has a scan time of 53 minutes, with a scale bar indicating 100 µm.

Three immediate benefits:

  1. Streamlined sample preparation with no polished mounts
  2. Reduce sample runs by eliminating stereological assumptions
  3. Non-destructive analysis, allowing for precious samples or correlative workflows

Maximize Outputs from Non-destructive Techniques

The capabilities of ZEISS X-ray microscopy (XRM) and computed tomography (µCT) are at the forefront of lab-based, non-destructive imaging. These 3D microscopy capabilities now feature three key enhancements enabling quantitative analytical applications:

  1. DeepRecon Pro: Advanced deep learning for noise reduction and speed.
  2. LabDCT/CrystalCT: Diffraction contrast tomography for crystal orientation analysis.
  3. Phase Identifier 3D: Calibrated phase identification for automated mineralogy.
Image 2: A 3D rendering of a sample containing multiple distinct mineral phases, visualized with different colors.
Image 3: Another 3D rendering of a sample, similar to the previous one, showing mineral distribution.

Recent advances in 3D X-ray analysis include (1) DeepRecon Pro deep learning image processing, (2) non-destructive crystal orientation analysis, and now (3) automated quantitative mineralogy.

Introducing Phase Identifier 3D

Phase Identifier 3D automatically classifies the mineralogy of the sample based on attenuation measurements. This unique capability can be combined with morphological measurements to create a full description of the sample with none of the stereological restrictions of SEM-based analyses.

Phase Identifier 3D is capable of analyzing whole rock samples, loose particle fractions, or intricate structures in full with no sample damage and minimal preparation. Maximizing the quantitative outputs from non-destructive X-ray techniques is ideal for precious samples such as meteorites and sample-return missions, museum specimens, and fossil samples - particularly those still embedded in host rock.

Graph and Projection: A line graph displays "Absorption contrast" on the y-axis and "Peak intensity" on the x-axis, showing measured attenuation peak positions matching predicted/simulated positions (dashed lines) for mineral classification. The accompanying image on the right shows a single 2D projection of the analyzed test sample.

Prepare Your Research Workflows Like Never Before

Phase Identifier 3D creates a new opportunity to understand your samples in as much detail as possible, either as standalone datasets, or prior to further sample preparation and analysis. Automated mineralogy in 3D paves the way for targeted, correlative workflows to light microscopy, SEM, FIB-SEM, and beyond.

Characterize mineral deposits and meteorites with quantitative grain size/shape analysis and mineral associations for key minerals in situ. Or create streamlined 3D-to-2D workflows. For example, Phase Identifier 3D identifies minerals, highlighting the perfect targets for high resolution EBSD or TOF-SIMS.

Investigate your sample in its true form, without mechanical alteration, and see 100% of it. Phase Identifier 3D offers an unparalleled ability to understand composition, mineral relationships, and fabric of the geological materials under scrutiny, including minor phases and mineral inclusions. Assumptions on the representativity of the exposed sample are no longer relevant, nor are there issues with stereology.

3D Mineral Segmentation: A detailed 3D visualization of a rock sample, where different mineral phases are highlighted in distinct colors: yellow for pyrite, red for molybdenite, green for galena, blue for magnetite, and purple for sphalerite, illustrating a pyrite vein. These data provide the most robust and representative 3D analysis of your rock sample and can guide correlative workflows.

Simple Preparation, Advanced Analysis

Analyze your sample intact and dispense with the requirement to make epoxy mounts or hope for the perfect thin section to be cut.

Take advantage of the ZEISS flat panel detector to obtain a larger field of view and enjoy the high throughput of deep learning image processing improvements provided by ZEISS DeepRecon Pro. Phase Identifier 3D offers unrivaled resolution, mineral classification, and measurement of samples in their natural state with simple sample handling.

System Configurations

ZEISS Versa XRM

With primary workstation, Standard FDK Reconstruction.

ZEISS Context microCT

With primary workstation, Standard FDK Reconstruction.

Phase Identifier 3D

Optional Extras: Dragonfly 3D World ZEISS Edition

Contact and Company Information

Carl Zeiss Microscopy GmbH
07745 Jena, Germany
microscopy@zeiss.com
www.zeiss.com/microscopy/phase-identifier

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Not for therapeutic use, treatment or medical diagnostic evidence. Not all products are available in every country. Contact your local ZEISS representative for more information. EN_42_012_347 | CZ 07-2025 | Design, scope of delivery and technical progress subject to change without notice.

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