With ZEISS microscopy, you can gain deeper insight into the mineralogical and textural complexities of geological materials. From detailed 2D and 3D characterization to advanced analysis of ores and rock formations, ZEISS solutions support efficient resource extraction and processing. These capabilities help drive smarter, economically optimized decisions while reducing environmental impact.

Planetary geology focuses on analyzing geological materials originating from celestial bodies beyond Earth, such as meteorites and samples returned through space missions. These rare and valuable specimens offer crucial insights into the formation and evolution of the solar system. Due to their limited availability, advanced, non-destructive microscopic techniques are essential for maximizing data while preserving the samples. With the help of ZEISS multiscale, multi-modal correlative analysis, scientists can investigate mineral phases, crystal structures, and chemical compositions, deepening our understanding of planetary processes and materials.

Automated mineral analysis using microscopy allows for high-resolution imaging and precise examination of samples at the microscopic scale. This approach enhances the accuracy of mineral phase identification, crystal structure assessment, and elemental composition analysis. By minimizing human error and improving efficiency, it accelerates the analytical process and supports the generation of large, high-quality datasets. Combined with advanced image processing algorithms, this enables more comprehensive and statistically reliable interpretations. Ultimately, microscopy-driven automation provides researchers and geologists with powerful tools to investigate the complex properties and behaviors of minerals, contributing to a deeper understanding of geological processes.

Ongoing algorithmic advancements, powered by ZEISS specialized AI infrastructure, continuously improve the capabilities available to microscope users. By leveraging AI for tasks such as automated image segmentation, registration, and enhancement, users gain higher image quality, improved resolution, and deeper quantitative insights. These tools empower geoscientists to extract meaningful information more efficiently, supporting faster, data-driven decision-making. AI also enables automated sample measurement, refined data filtering, and segmentation - streamlining workflows and increasing confidence in results while handling larger datasets with greater ease.