Discrimination of surface wear on obsidian tools using LSCM and RelA: pilot study results (area-scale analysis of obsidian tool surfaces).
Discrimination of surface wear on obsidian tools using LSCM and RelA: pilot study results (area-scale analysis of obsidian tool surfaces).
复制标题
使用 LSCM 和 RelA 区分黑曜石工具的表面磨损：试点研究结果（黑曜石工具表面的区域尺度分析）。
作者：
W. Stemp;Steven Chung
这项初步研究测试的可靠性，激光扫描共聚焦显微镜（LSCM）定量测量实验黑曜石工具的磨损。据我们所知，这是第一次使用共聚焦显微镜来研究由无定形硅酸盐如黑曜石制成的石片的磨损。使用LSCM记录了用于不同接触材料（生皮、贝壳、木材）的三种黑曜石薄片的三维表面粗糙度或纹理区域扫描，以确定是否可以使用面积尺度分析（特别是相对面积（RelA））区分磨损表面。当结合F检验时，这种尺度敏感的分形分析不仅可以区分单个工具上使用过的表面和未使用过的表面，而且还能够区分不同接触材料上使用的工具的磨损历史。结果表明，这种歧视发生在不同的尺度。使用F检验（均方比或MSR）确定不同尺度下区分的置信水平。在表面粗糙度或纹理的歧视是不可能高于基于MSR的既定置信水平的情况下，显微照片和RelA协助假设为什么会这样。
This pilot study tests the reliability of laser scanning confocal microscopy (LSCM) to quantitatively measure wear on experimental obsidian tools. To our knowledge, this is the first use of confocal microscopy to study wear on stone flakes made from an amorphous silicate like obsidian. Three-dimensional surface roughness or texture area scans on three obsidian flakes used on different contact materials (hide, shell, wood) were documented using the LSCM to determine whether the worn surfaces could be discriminated using area-scale analysis, specifically relative area (RelA). When coupled with the F-test, this scale-sensitive fractal analysis could not only discriminate the used from unused surfaces on individual tools, but was also capable of discriminating the wear histories of tools used on different contact materials. Results indicate that such discriminations occur at different scales. Confidence levels for the discriminations at different scales were established using the F-test (mean square ratios or MSRs). In instances where discrimination of surface roughness or texture was not possible above the established confidence level based on MSRs, photomicrographs and RelA assisted in hypothesizing why this was so.