You’re losing metal… but you can’t point to why
Recovery drops but nothing clearly explains it
Automated mineralogy that links mineral texture, composition, and behavior to deliver measurable recovery gains
Recovery drops but nothing clearly explains it
You tweak grind or reagents, hoping it works
One day the feed runs fine, the next day it doesn't, and it's not clear what
changed
Automated particle-by-particle analysis that shows which minerals host your metal and how they’re locked
What it changes
You stop guessing whether losses come from poor liberation, wrong mineral targeting, or unexpected phases
Impact
In practice
Instead of chasing recovery issues for weeks, you see in one dataset where the metal is going
What makes it possible
Measuring real mineral grain size versus bulk particle size, backed by automated liberation analysis.
What it changes
You stop overgrinding “just to be safe” or undergrinding and losing recovery
Impact
In practice
Instead of slow, trial-and-error testing, optimize your grind size based on actual mineral liberation data.
What makes it possible
High-throughput, reproducible mineralogical datasets across all ore types
What it changes
You stop reacting to variability and start anticipating it
Impact
In practice
Instead of guessing why an ore behaves differently, you know exactly what changed.
You work directly with experienced mineralogists who stay involved, help your team ramp up, and make sure the system delivers real results over time.
“We don’t just install a system and walk away. We work with users until they get the answers they need from their data. ”
A QUICK DISCUSSION IS OFTEN ENOUGH TO EVALUATE IF AUTOMATED MINERALOGY WORKFLOW MAKES SENSE FOR YOUR OPERATION..
| Tescan TIMA | Legacy systems | Other current alternatives | |
|---|---|---|---|
| Throughput | 1 | 2 | 3 |
| Built in databases | 1 | 3 | 2 |
| Ease of use | 1 | 2 | 3 |
| Particle categorization | 1 | 1 | 3 |
| Application support | 1 | 3 | 2 |
| Suitability for large datasets | 1 | 2 | 2 |
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Discover how integrating geological, mineralogical, and metallurgical data improves resource modeling, reduces risk, and drives more efficient, sustainable, and profitable mining operations.
Implementation of automated mineralogy workflows often result in significant improvements.
There are known cases where the ROI was counted just in months.
Automated mineralogy is the only technique combining information on grain size distribution, liberation degree and elemental deportment.
Such data are invaluable for optimization of metallurgical models or for definition of geometallurgical domains in the deposit.