AI for Ceramic Residue Analysis: FTIR and Raman Spectroscopy

The Core Idea

Chemical traces on ceramics reveal diets, technologies, and trade routes. AI enhances spectral processing by identifying compound markers and classifying tableware types.

Noise filtering and spectral normalization are key steps in preparing the data for analysis.

Interpreting Markers (Lipids, Proteins, Resins)

Markers are compared with relevant archaeological data to provide context and meaning.

Representative sampling and standardized sample preparation techniques ensure the reliability of the results.

Model Portability Between Laboratories

Infrastructure and data consistency are crucial for successful model deployment.

FTIR/Raman instrumentation, along with established spectral libraries, facilitates seamless transfer of models.

Frequently asked questions