The challenge of correlating imaging datasets in geoscience

A broad range of microscopy tools and imaging techniques is available for studying geoscientific samples. Often, multiple imaging datasets are correlated to connect chemical and/or physical information to investigate complex systems. However, combining datasets obtained from different imaging techniques remains challenging. They often cannot be directly matched due to differences in resolution, scale, or instrument calibration.

One solution is the application of markers on samples. Several techniques exist for applying markers on the surface of polished geoscientific samples, such as thin sections. These markers can be used during sample handling to identify the area of interest and ensure reproducible sample placement. After data acquisition, they enable accurate scaling and co-registration of different imaging datasets during data processing. Marker application techniques range from accessible, simple, and cost-effective approaches to more complex, specialized, and expensive methods, depending on the intended purpose.

I will provide a brief overview of the available techniques and highlight the use of microlithography on thin sections, a technique that enables writing nano- to microsized symbols on sample surfaces. These markers provide a practical solution for simplifying the correlation of multiple datasets and support a deeper understanding in geoscientific research.