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一种结合X射线显微断层扫描和支持向量机分类器区分驯鹿茸(Rangifer tarandus)和马鹿茸(Cervus elaphus)的无损方法。

A Non-Destructive Method for Distinguishing Reindeer Antler (Rangifer tarandus) from Red Deer Antler (Cervus elaphus) Using X-Ray Micro-Tomography Coupled with SVM Classifiers.

作者信息

Lefebvre Alexandre, Rochefort Gael Y, Santos Frédéric, Le Denmat Dominique, Salmon Benjamin, Pétillon Jean-Marc

机构信息

De la Préhistoire à l'Actuel, Culture, Environnement, Anthropologie-UMR 5199, University of Bordeaux, Bordeaux, France.

EA 2496 Pathologies, Imagerie et Biothérapies oro-faciales, Plateforme Imagerie du Vivant, Dental School, Université Paris Descartes Sorbonne Paris Cité, Montrouge, France.

出版信息

PLoS One. 2016 Feb 22;11(2):e0149658. doi: 10.1371/journal.pone.0149658. eCollection 2016.

Abstract

Over the last decade, biomedical 3D-imaging tools have gained widespread use in the analysis of prehistoric bone artefacts. While initial attempts to characterise the major categories used in osseous industry (i.e. bone, antler, and dentine/ivory) have been successful, the taxonomic determination of prehistoric artefacts remains to be investigated. The distinction between reindeer and red deer antler can be challenging, particularly in cases of anthropic and/or taphonomic modifications. In addition to the range of destructive physicochemical identification methods available (mass spectrometry, isotopic ratio, and DNA analysis), X-ray micro-tomography (micro-CT) provides convincing non-destructive 3D images and analyses. This paper presents the experimental protocol (sample scans, image processing, and statistical analysis) we have developed in order to identify modern and archaeological antler collections (from Isturitz, France). This original method is based on bone microstructure analysis combined with advanced statistical support vector machine (SVM) classifiers. A combination of six microarchitecture biomarkers (bone volume fraction, trabecular number, trabecular separation, trabecular thickness, trabecular bone pattern factor, and structure model index) were screened using micro-CT in order to characterise internal alveolar structure. Overall, reindeer alveoli presented a tighter mesh than red deer alveoli, and statistical analysis allowed us to distinguish archaeological antler by species with an accuracy of 96%, regardless of anatomical location on the antler. In conclusion, micro-CT combined with SVM classifiers proves to be a promising additional non-destructive method for antler identification, suitable for archaeological artefacts whose degree of human modification and cultural heritage or scientific value has previously made it impossible (tools, ornaments, etc.).

摘要

在过去十年中,生物医学三维成像工具在史前骨制品分析中得到了广泛应用。虽然最初对骨器工业中主要类别(即骨头、鹿角和牙质/象牙)进行特征描述的尝试取得了成功,但史前制品的分类鉴定仍有待研究。驯鹿和马鹿鹿角之间的区分可能具有挑战性,特别是在经过人为和/或埋藏学改变的情况下。除了现有的一系列破坏性物理化学鉴定方法(质谱分析、同位素比率分析和DNA分析)外,X射线显微断层扫描(显微CT)还能提供令人信服的非破坏性三维图像和分析。本文介绍了我们为鉴定现代和考古鹿角藏品(来自法国伊斯特里茨)而开发的实验方案(样本扫描、图像处理和统计分析)。这种原始方法基于骨微观结构分析,并结合了先进的统计支持向量机(SVM)分类器。使用显微CT筛选了六种微观结构生物标志物(骨体积分数、骨小梁数量、骨小梁间距、骨小梁厚度、骨小梁骨模式因子和结构模型指数)的组合,以表征内部肺泡结构。总体而言,驯鹿的肺泡呈现出比马鹿肺泡更紧密的网格结构,统计分析使我们能够按物种区分考古鹿角,准确率达96%,无论鹿角的解剖位置如何。总之,显微CT与SVM分类器相结合被证明是一种有前景的鹿角鉴定非破坏性附加方法,适用于那些由于人类改造程度以及文化遗产或科学价值而此前无法鉴定的考古制品(工具、装饰品等)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea5/4762490/c7195a844ac9/pone.0149658.g001.jpg

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