Identifying Experimental Tool Use Through Confocal Microscopy
| Autor: | Talía Lazuén, Jesús González-Urquijo, Juan José Ibáñez |
|---|---|
| Přispěvatelé: | Universidad de Cantabria |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
010506 paleontology
Archeology Use-wear 060102 archaeology Computer science Lithic tools 06 humanities and the arts 01 natural sciences Data science law.invention Archaeological science Characterization (materials science) Confocal microscopy law 0601 history and archaeology Experimentation 0105 earth and related environmental sciences TRACE (psycholinguistics) |
| Zdroj: | Journal of Archaeological Method and Theory (2019) 26(3):1176-1215 Digital.CSIC. Repositorio Institucional del CSIC instname UCrea Repositorio Abierto de la Universidad de Cantabria |
| Popis: | Characterizing use-wear traces quantitatively is a valid way to improve the capacity of use-wear analysis. This aim has been on specialists’ agenda since the beginning of the discipline. Micropolish quantification is especially important, as this type of trace allows the identification of worked materials. During the last decade, confocal microscopy has been used as a promising approach to address this question. Following previous efforts in plant microwear characterization (Ibáñez et al. Journal of Archaeological Science, 48, 96–103, 2014; Journal of Archaeological Science, 73, 62–81, 2016), here we test the capacity of the method for correctly grouping experimental tools used for working eight types of materials: bone, antler, wood, fresh hide, dry hide, wild cereals, domestic cereals, and reeds. We demonstrate, for the first time, that quantitative texture analysis of use-wear micropolish based on confocal microscopy can consistently identify tools used for working different contact materials. In this way, we are able to move toward using texture analysis as part of the standard functional analysis of prehistoric instruments. This study is part of the projects HAR2016-74999-P, HAR2015-68566-P, and HAR2016-81971-REDT funded by the Spanish Ministerio de Ciencia, Innovación y Universidades. |
| Databáze: | OpenAIRE |
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