Your geometallurgy goals
realized with maximum
efficiency
ZEISS Mineralogic 3D for Mining

Mineral Classification

Mineralogy, Liberation, Associations

Making full use of the imaging capability

Understand your mineral processingof the X-ray microscope, enhanced bylike never before. Where 2D automated

DeepRecon noise-reducing deep learningmineralogy offers liberation based on

algorithms, Mineralogic 3D automatically

exposed surfaces or edges, associationsclassifies the mineralogy of the sample

based on linear contacts, and modal

based on attenuation measurements.

mineralogy based on phases exposedon the surface of the sample mount,

Mineral classifications based on attenuation measurements

The ability to classify the mineralogy

Mineralogic 3D measures liberation

in tomographic scans is unique andbased on the volume of the grains andwhen combined with the morphologicaltheir exposure on the surface of themeasurements of the 3D reconstructed

unaltered particle. Associations areentities allows the calculation ofbased on full mineral surface contacts

standard mining-relevant outputs.

with other phases, and modal mineralogy

ZEISS Mineralogic 3D applies X-ray

accounts for all grains – those exposed

microscopy techniques and deep learningon the surface of the particles andalgorithms to execute automated miner-

those obscured within.

alogy analyses in 3D that provide particle
identification, mineral classification, anddata outputs, including liberation andassociation measurements.
Three immediate benefits:
1. The sample preparation process is

Exposed surface area

greatly simplified, compared to that
required for 2D analyses
2. There are no stereologicalassumptions as every grain isviewed in full
3. The time to actionable data is
greatly reduced

Contact surface

3D evaluation of mineral particles delivers an
un-obfuscated view of associations, liberation,and modal mineralogy

Maximize Throughput
Enjoy higher analysis throughput withsimple sample handling. Dispense withthe requirement to mechanically alter yoursamples to expose flat surfaces for analysis
and then hope to reveal hidden phases.
Unlike sample preparation for the SEM
where graphite is added to act as a particle
separator, the Mineralogic 3D analysis ofcomminuted ore does not demand theuse of additives to help maintain particle
separation, nor of a resin block to holdMineralogic 3D combines X-ray tomography withadvanced machine learning to provide a truemeasurement of the sample with no obscured phases.

particles fixed in space; instead, it makes
full use of machine learning to ensure thatevery particle is understood in its entirety
as a sole individual with exposed surfaces
and enclosed mineralogy fully evaluatedand quantified.

20151050

SEM

X-ray

Sample PrepAnalysis

The simplicity of sample preparation combined withadvanced analytical techniques results in a marked
time saving in delivery of results by Mineralogic 3D

Mineralogic 3D
Deep Recon Pro Software
ZEISS Xradia Versa XRM
with primary workstation
Standard FDK ReconstructionZEISS Xradia
Context microCTwith primary workstation
Standard FDK Reconstruction

microscopy@zeiss.com
www.zeiss.com

XRM High Performance Workstation
FPX Flat Panel Extension+ZEISS Scout-and-Scan
ZEN Analyzer
ZEN Module Macro EnvironmentZEN Intellesis
Optional extras:
ORS Dragonfly, ZEISS Autoloader

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_44_012_346 | CZ 10-2021 | Design, scope of delivery and technical progress subject to change without notice. | © Carl Zeiss Microscopy GmbH

Ore Body Characterization
Investigate your sample in its true form,
without mechanical alteration, and see
100% of it. ZEISS Mineralogic 3D offers
an unparalleled ability to understandcomposition, mineral relationships, andfabric of the geological materials under
scrutiny, including that of locked grains.
Taking advantage of the ZEISS Xradia
flat panel detector to obtain a larger fieldof view and of the deep learning image
processing improvements provided by
DeepRecon Pro, Mineralogic 3D offers
unrivaled resolution, mineral classification,and measurement of samples in theirnatural state. No longer are assumptions
on the representativity of the exposed
sample relevant, nor are there issues
with stereology.