Literature DB >> 25041833

New method development in prehistoric stone tool research: evaluating use duration and data analysis protocols.

Adrian A Evans1, Danielle A Macdonald2, Claudiu L Giusca3, Richard K Leach3.   

Abstract

Lithic microwear is a research field of prehistoric stone tool (lithic) analysis that has been developed with the aim to identify how stone tools were used. It has been shown that laser scanning confocal microscopy has the potential to be a useful quantitative tool in the study of prehistoric stone tool function. In this paper, two important lines of inquiry are investigated: (1) whether the texture of worn surfaces is constant under varying durations of tool use, and (2) the development of rapid objective data analysis protocols. This study reports on the attempt to further develop these areas of study and results in a better understanding of the complexities underlying the development of flexible analytical algorithms for surface analysis. The results show that when sampling is optimised, surface texture may be linked to contact material type, independent of use duration. Further research is needed to validate this finding and test an expanded range of contact materials. The use of automated analytical protocols has shown promise but is only reliable if sampling location and scale are defined. Results suggest that the sampling protocol reports on the degree of worn surface invasiveness, complicating the ability to investigate duration related textural characterisation.
Copyright © 2014. Published by Elsevier Ltd.

Keywords:  Laser scanning confocal microscopy; Microwear quantification; Stone tools

Mesh:

Year:  2014        PMID: 25041833     DOI: 10.1016/j.micron.2014.04.006

Source DB:  PubMed          Journal:  Micron        ISSN: 0968-4328            Impact factor:   2.251


  5 in total

1.  Time wears on: Assessing how bone wears using 3D surface texture analysis.

Authors:  Naomi L Martisius; Isabelle Sidéra; Mark N Grote; Teresa E Steele; Shannon P McPherron; Ellen Schulz-Kornas
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

2.  The effect of numerical aperture on quantitative use-wear studies and its implication on reproducibility.

Authors:  Ivan Calandra; Lisa Schunk; Konstantin Bob; Walter Gneisinger; Antonella Pedergnana; Eduardo Paixao; Andreas Hildebrandt; Joao Marreiros
Journal:  Sci Rep       Date:  2019-04-19       Impact factor: 4.379

3.  Polish is quantitatively different on quartzite flakes used on different worked materials.

Authors:  Antonella Pedergnana; Ivan Calandra; Adrian A Evans; Konstantin Bob; Andreas Hildebrandt; Andreu Ollé
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

4.  Optimization of use-wear detection and characterization on stone tool surfaces.

Authors:  Antony Borel; Raphaël Deltombe; Philippe Moreau; Thomas Ingicco; Maxence Bigerelle; Julie Marteau
Journal:  Sci Rep       Date:  2021-12-17       Impact factor: 4.996

5.  Quantitative use-wear analysis of stone tools: Measuring how the intensity of use affects the identification of the worked material.

Authors:  Juan José Ibáñez; Niccolò Mazzucco
Journal:  PLoS One       Date:  2021-09-20       Impact factor: 3.240

  5 in total

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