milan米兰体育官方网站 使用 X 射线计算机断层扫描自动表征冰川沉积物

引用

McDonald N、Bradwell T、Callard SL、Toney JL、Shreeve B 和 Shreeve J (2022) 使用 X 射线计算机断层扫描自动表征冰川沉积物。第四纪科学进展，5，艺术。编号：100046。https://doi.org/10.1016/j.qsa.2021.100046

摘要
这项研究探讨了一种新的高分辨率、无损 X 射线成像技术在第四纪科学中的潜力——计算机断层扫描 (CL)。从取芯冰川沉积物的数字 X 射线 CL 图像中系统地提取灰度特性，以像素级分辨率分析和表征沉积物 ( 0.1 mm). We show how this can be achieved manually, and also with an easy-to-use, automated statistical tool which we have devised specifically for use in glaciomarine sediments. This Sediment Characteristics tool, in the form of a plugin for the freely available FIJI/ImageJ programme, extracts mean or median X-ray grey values (GV) – a proxy for sediment density; and associated standard deviation (SD) – a proxy for sediment heterogeneity – at sub-mm resolution, across the width of sediment core CL images. We demonstrate how these properties (GV and SD) can be directly used to characterise sediment properties and in particular to quantify the abundance of gravel clasts, or ice-rafted debris, in cored glaciomarine sediments. The tool’s effectiveness is compared with other, more traditional, X-radiographic methods for counting ice-rafted gravel clasts in glaciomarine sediment. We propose that the CL output and Sediment Characteristics tool also have the potential to quantitatively analyse other 3-dimensional structures, such as cyclic lamination (varve) geometry; deformation structures; bioturbation and void space (porosity). Finally, we present the raw code, allowing open-access, transparency and reproducibility in other formats.

关键字
X射线照相；分层摄影；冰川蓝宝石；沉积物；冰筏碎片

期刊
第四纪科学进展：第 5 卷

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