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Beyond the Surface: Exploring Ancient Plant Food Processing through Confocal Microscopy and 3D Texture Analysis on
Andrea Zupancich1, Emanuela Cristiani1, Melania Di Fazio2
1DANTE-Diet and Ancient Technology Laboratory, Department of Oral and Maxillo Facial Sciences, Sapienza University of Rome, Rome, Italy.
Confocal microscopy and 3D surface texture analysis effectively distinguish micro-polishes on ground stone tools. This method enhances functional interpretations of prehistoric tools used for processing plant foods.
Area of Science:
- Archaeological science
- Materials science
- Geology
Background:
- Ground stone tools are crucial for understanding prehistoric lifeways and technology.
- Use-wear studies on these tools increasingly employ quantitative methods for detailed analysis.
- Advanced techniques like 3D modeling and confocal profilometry are emerging.
Purpose of the Study:
- To apply confocal light microscopy and 3D surface texture analysis to identify and differentiate micro-polishes from plant food processing.
- To test the method's efficacy on modern limestone replicas simulating prehistoric tool use.
- To evaluate the integration of quantitative and qualitative use-wear analysis for functional interpretation.
Main Methods:
- Application of confocal light microscopy for high-resolution surface imaging.
- 3D surface texture analysis to quantify micro-polish characteristics.
- Experimental use of limestone replicas for grinding, pounding, and dehusking plant materials.
Main Results:
- Confocal microscopy and 3D analysis successfully discriminated between various micro-polishes.
- The study demonstrated the method's ability to identify polishes resulting from processing cereal grains and legumes.
- Quantitative data correlated with qualitative use-wear observations.
Conclusions:
- Confocal microscopy and 3D surface texture analysis offer a powerful, quantitative approach to ground stone tool use-wear studies.
- This integrated methodology enhances the functional interpretation of archaeological assemblages.
- Future research should focus on systematic application and addressing current limitations.
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