AI Mineral Tech
AUTOMATIC ANALYSIS OF
ROCK THIN SECTIONS
ROCK
THIN SECTIONS
In petrography and optical mineralogy, a thin section is a thin cut of a rock or mineral sample (thickness 30 μm), prepared in a laboratory, for use with a petrographic microscope.
Thin sections provide detailed information about the mineralogical composition of rocks. They are necessary for textural analysis, which aids in the interpretation of their formation and the processes that have affected their evolution.
They are an indispensable tool for geologists, as they provide a window into the microscopic world of rocks, providing valuable information for research and understanding geological processes.
The rise of artificial intelligence has sparked widespread interest across various scientific disciplines in analyzing data, including images, videos, text, and numerical data, with the goal of improving the efficiency of study and research processes. This approach has captured the attention of geology, which seeks to leverage these technologies to optimize the interpretation and analysis of geological data, especially in areas such as the identification of minerals, structures, and textures in rock samples.
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