Automated Lithium Phase Identification
Detect and quantify lithium-bearing minerals in ores and black mass with TIMA’s automated SEM-EDS workflows, providing precise mineralogical data without manual intervention.
TESCAN TIMA for Batteries
Accelerate battery material characterization with TESCAN TIMA for batteries. This SEM-based automated mineralogy solution delivers reproducible insights into lithium ores, cathode particles, and black mass residues with minimal operator input.
With automated segmentation, multi-EDS detection, and advanced processing, TIMA delivers fast, statistically robust data on mineral phases, associations, and liberation.
- Identify and quantify lithium-bearing phases in ores and recycling residues with automated SEM-EDS workflows
- Characterize black mass texture and chemistry to distinguish NMC, LFP, LCO, and other cathode materials
- Investigate recycling losses by tracing elemental deportment across mineral phases
- Assess liberation degree and particle associations to guide comminution, flotation, and leaching strategies
- Process large sample batches unattended with automated acquisition and offline data analysis
- Extend analysis with integrated Raman, CL, or WDS for multi-modal characterization of electrode materials
FOR BATTERY RESEARCH APPLICATIONS
.webp?width=675&height=451&name=1_Characterization%20of%20lithium%20ores%20using%20correlative%20SEM%20imaging%20and%20EDS%20elemental%20mapping%20(1).webp)
Using Tescan TIMA for Automated Mineralogy Characterization of Lithium Ore
Lithium extraction requires accurate quantification of minerals that often look alike. Tescan TIMA provides automated, high-throughput mineralogical mapping to ensure reliable resource evaluation and process design.- Differentiate spodumene and lepidolite from similar silicates
- Identify trace lithium phases such as amblygonite often missed by SEM
- Quantify liberation, grain size, and associations for process modeling
Automated Mineralogy as a Novel Method for Black Mass Characterization
Conventional bulk analysis cannot resolve the complexity of black mass. With TIMA, every particle is treated as a data point, enabling detailed chemical and morphological classification to improve recycling outcomes.- Differentiate cathode chemistries such as LCO, NMC, NCA, and LFP
- Quantify liberation and association across particle size fractions
- Identify foils, graphite, and alloys for targeted recovery processes
AUTOMATED MINERALOGY FOR BATTERY MATERIALS AND RECYCLING
TIMA Mineral Analysis Software automates the characterization of lithium ores, cathode particles, and black mass. Integrated with Essence™, it applies segmentation, spectral summing, and particle classification to deliver reproducible datasets with minimal input. Users can identify lithium phases, quantify cathode chemistries, and investigate recycling losses at high throughput, with offline processing and customizable rules extending analysis without tying up instrument time.
“At Dragonfly Energy, our goal is to deliver a more sustainable and cost-effective Li-ion battery, and these metrics are fundamentally defined by dynamic nanoscale interactions occurring inside the cell. TESCAN’s electron microscopy and micro-CT solutions provide valuable, correlative insights into the behavior of these complex systems which enable the development of our innovative cell chemistries.”
Dr. Denis Phares
CEO at Dragonfly Energy
CEO at Dragonfly Energy
Unlocked content
Output Exmples
%20in%20TESCAN%20TIMA%20analysis.png)
%20grains%20in%20lithium%20ore.png)
leave a contact to access
Contact us
