Marek Dosbaba, Tescan expert in automated mineralogy and ore chareacterization, on automated mineralogy for geoscience and archaeology, and where the Tescan TIMA GeoLite fits.
Finding the right mineral can sometimes take longer than analysing it. Counting phases manually, searching a thin section for a rare accessory mineral, relocating the same grain for EPMA or LA-ICP-MS, or trying to build statistically meaningful provenance data can consume a surprising amount of research time. Automated mineralogy can turn much of that searching and counting into a reproducible workflow, while preserving the geological context that makes the result meaningful. Tescan TIMA GeoLite has been developed for laboratories that want these capabilities for geoscience and related research, without requiring the full industrial configuration designed for high-throughput mineral processing. TIMA workflows already support automated mineral identification, modal mineralogy, mineral targeting, coordinate transfer and analysis of chemical and textural relationships across complete samples.
Whenever you begin characterizing a sample, you first need to familiarize yourself with it and understand the nature of the rock and the processes that led to its formation. That is a rewarding part of the research, and automated mineralogy is not intended to replace it. Instead, it takes over repetitive tasks such as point counting, searching for specific minerals that may be difficult to identify under an optical microscope, and processing batches of hundreds of samples.
That perception has a historical basis. The first automated-mineralogy instruments were developed primarily for mineral-processing questions such as mineral liberation and elemental deportment. Their capabilities reflected that purpose: outputs were limited, elemental mapping and quantification within individual minerals were not yet standard, and the systems were neither especially fast nor affordable. Their practical value for broader geoscience research was therefore limited. Modern instruments such as TIMA and TIMA GeoLite are very different. They can analyse thin-section-sized samples in tens of minutes and acquire correlated backscattered-electron and cathodoluminescence images, elemental maps and phase maps in a single run. More importantly, they automate the morphological and chemical characterization of mineral grains.
For geoscientits, this means that follow-up techniques become more targeted rather than less important. Because BSE images, elemental maps and phase maps already reveal compositional variation across the sample, EPMA or LA-ICP-MS points can be placed selectively—for example, at the compositional extremes of a mineral population. Researchers can therefore use a smaller, better-targeted set of analyses to investigate the variation in greater depth instead of using numerous points simply to discover it.
TIMA GeoLite combines general-purpose SEM capabilities with automated mineralogy for geoscience research. For a laboratory planning its next SEM investment, that means considering routine microscopy and systematic mineral characterisation together.
In principle, there are two options. TIMA can map all mineral phases, after which the mineral of interest can be filtered from the results. Alternatively, it can search specifically for a mineral containing a particular element or combination of elements, producing a map limited to the relevant areas and reducing acquisition time. In both cases, the output includes not only maps but also statistics describing mineral associations, morphology and chemistry.
Exactly. The coordinates are another important output because they allow other instruments to relocate even very small mineral grains without repeating the search. If an instrument does not support coordinate transfer directly, we can instead provide images with the target minerals highlighted. Dedicated holders also simplify sample transfer and registration between TIMA and LA-ICP-MS, enabling genuinely high-capacity correlative analysis.
Mineralogical and petrological research is often based on relatively small numbers of samples or analytical points, which can limit the statistical relevance of the data. Sample scarcity cannot always be solved, but automated mineralogy can reduce the constraints imposed by analysis cost and labor intensity. By characterizing hundreds or thousands of grains, it becomes possible to describe compositional variation, element distributions, solid-solution breakdown and provenance relationships across complete mineral populations within the analysed sample area. These results can then guide EPMA placement more efficiently, and in some cases EDS information may already be sufficient for the research question.
Provenance is one of the most important archaeological applications. Automated mineralogy has recently contributed to studies of megalithic monuments, including Stonehenge. Combined with isotopic geochronology, it helped researchers trace the source area of the Altar Stone to Scotland’s Orcadian Basin. A similar methodology was applied in a study of the Devil’s Arrows in Yorkshire. Both studies were conducted by researchers from Curtin University in Perth, Australia.
The value is not limited to megaliths. In provenance and comparative studies of lithic artefacts and ceramic fragments, automated mineralogy can provide modal composition, grain size and morphology, as well as a snapshot of mineral chemistry across entire populations of accessory minerals such as garnet or spinel. Collecting a comparable amount of data manually, point by point, would be extremely laborious. Pore morphology and size distribution can also reveal aspects of manufacturing technology.
In the addition to the previously mentioned applications automated mineralogy was also used for sediment or soil characterization to reconstruct environmental shift or quantify mineral phases related to human activity.
I believe that the word “useful” does not quite reflect the importance of the technology. People with experience of automated mineralogy consistently emphasize how much time it saves. They can locate and quantify mineral grains automatically rather than searching for them manually, identify coexisting mineral pairs for geothermometric studies, reduce the need to combine multiple instruments for initial sample characterization, and avoid obtaining a separate bulk chemical analysis for every sample. In my view, that makes the technology not merely useful but invaluable.
However, recognizing the benefits of a technology does not necessarily make it easy to fund. TIMA GeoLite was designed to lower that barrier by combining general-purpose SEM capabilities with automated mineralogy. A laboratory already considering a new SEM can therefore evaluate GeoLite as a way to add both capabilities within the same investment.
For a grant proposal, the key capability is not simply additional SEM-EDS capacity but a reproducible workflow for statistically sound research. TIMA GeoLite can systematically map large sample areas, identify and quantify mineral phases, characterize chemical and textural variability across grain populations, and retain target coordinates for follow-up analysis. Reproducing that workflow with a conventional SEM-EDS system would require extensive manual searching, point-by-point analysis and data processing, making comparable statistical coverage and consistency difficult to achieve. It also retains TIMA’s ability to process larger sample batches, allowing research questions to be addressed across complete samples and substantial mineral populations rather than only a limited number of manually selected grains.
You do not need to be an automated-mineralogy expert. Anyone with basic mineralogy and SEM-EDS experience can begin with workflows such as large-area BSE and elemental mapping and obtain valuable results. Some training is necessary to go deeper, but expertise develops gradually. Geological knowledge remains the most important foundation. TIMA GeoLite automates repetitive acquisition and processing so that users can focus on sample interpretation.
TIMA GeoLite is suited to geoscientists and archaeologists who want to routinely characterize geological samples down to grain-by-grain chemistry. It is also suitable for laboratories that need to map thin-section-sized samples systematically for specific minerals, whether for geothermometry or geochronology, and its batch capability supports higher-throughput research studies involving multiple samples. However, TIMA GeoLite is not designed for industrial mineral-processing applications, which require dedicated workflows and configurations.
Tell us about your samples, the minerals you need to identify and what you plan to measure next. Discuss with a Tescan application specialist whether GeoLite fits your workflow and what preparation, configuration and follow-up analysis would be needed.
Referenced articles:
Clarke et al. 2026b; 2026a)
CLARKE, Anthony J. I.; Christopher L. KIRKLAND; Arthur de Oliveira VICENTINI a Lisa BROWN, 2026a. Altar to Attic to Analysis: Geochemical Authentication of a Rediscovered Victorian Thin Section of Stonehenge’s Altar stone. Journal of Archaeological Science: Reports. Online. 70, 105619. ISSN 2352-409X. Dostupné z: doi:10.1016/j.jasrep.2026.105619
CLARKE, Anthony; Jim LEARY a Chris KIRKLAND, 2026b. Deliberate prehistoric sourcing of the Devil’s Arrows, Britain’s tallest stone row. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. Online. 482(2345), 20260504. ISSN 1364-5021. Dostupné z: doi:10.1098/rspa.2026.0504