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微磨损分析软件包MicroWeaR:用于牙齿微磨损分析的新R软件包。

MicroWeaR: A new R package for dental microwear analysis.

作者信息

Strani Flavia, Profico Antonio, Manzi Giorgio, Pushkina Diana, Raia Pasquale, Sardella Raffaele, DeMiguel Daniel

机构信息

Dipartimento di Scienze della Terra Sapienza Università di Roma Rome Italy.

Istituto Italiano di Paleontologia Umana Rome Italy.

出版信息

Ecol Evol. 2018 Jun 11;8(14):7022-7030. doi: 10.1002/ece3.4222. eCollection 2018 Jul.

Abstract

Mastication of dietary items with different mechanical properties leaves distinctive microscopic marks on the surface of tooth enamel. The inspection of such marks (dental microwear analysis) is informative about the dietary habitus in fossil as well as in modern species. Dental microwear analysis relies on the morphology, abundance, direction, and distribution of these microscopic marks. We present a new freely available software implementation, , that, compared to traditional dental microwear tools, allows more rapid, observer error free, and inexpensive quantification and classification of all the microscopic marks (also including for the first time different subtypes of scars). Classification parameters and graphical rendering of the output are fully settable by the user. includes functions to (a) sample the marks, (b) classify features into categories as pits or scratches and then into their respective subcategories (large pits, coarse scratches, etc.), (c) generate an output table with summary information, and (d) obtain a visual surface-map where marks are highlighted. We provide a tutorial to reproduce the steps required to perform microwear analysis and to test tool functionalities. Then, we present two case studies to illustrate how works. The first regards a Miocene great ape obtained from through environmental scanning electron microscope, and other a Pleistocene cervid acquired by a stereomicroscope.

摘要

咀嚼具有不同机械性能的食物会在牙釉质表面留下独特的微观痕迹。对这些痕迹的检查(牙齿微磨损分析)有助于了解化石物种以及现代物种的饮食习惯。牙齿微磨损分析依赖于这些微观痕迹的形态、数量、方向和分布。我们展示了一种新的免费软件,与传统的牙齿微磨损工具相比,它能更快速、无观察者误差且低成本地对所有微观痕迹(首次包括不同类型的疤痕亚型)进行量化和分类。输出的分类参数和图形渲染可由用户完全设置。该软件具有以下功能:(a)对痕迹进行采样,(b)将特征分类为凹坑或划痕,然后再细分为各自的子类别(大坑、粗划痕等),(c)生成包含汇总信息的输出表,(d)获得突出显示痕迹的视觉表面图。我们提供了一个教程,以重现进行微磨损分析所需的步骤并测试工具功能。然后,我们展示两个案例研究来说明该软件的工作方式。第一个案例涉及通过环境扫描电子显微镜获得的中新世大猩猩,另一个案例是通过体视显微镜获取的更新世鹿类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/765a/6065344/fb6009ad6b13/ECE3-8-7022-g001.jpg

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