Dentin/Adhesive Interface Structure/Property Imaging
Dentin/Adhesive Interface Structure/Property Imaging
批准号:
6873323
负责人:
YONG WANG
金额:
$7.35万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-03-01 至 2007-02-28
关键词:
Raman spectrometrybioengineering /biomedical engineeringbiomaterial compatibilitybiomaterial interface interactioncomposite resinscomputer data analysiscomputer program /softwarecomputer simulationcomputer system design /evaluationdata managementdata quality /integritydental adhesive /sealantdentinhuman subjectimage processingimaging /visualization /scanninginfrared spectrometrymicroscopyphysical propertyrestorative dentistrysurface property
中文摘要
描述(由申请人提供):经过30多年的研究,牙本质/粘合剂(d/a)界面的破裂继续困扰着II类复合材料修复的长期临床成功。以前的界面调查的一个局限性是,数据主要是定性的性质,大部分数据是使用破坏性的技术,提供了一个单一的测量一个样本收集。了解d/a界面的机制和界面行为需要互补、协同、定量和定性的结构/性质分析。在大多数实验室中,这些补充分析是在从不同制造商购买的不同仪器组合上进行的。每台仪器都使用供应商独有的软件,并且数据通常必须以专有格式存储。管理以多种不同格式收集的大量数据成为一项艰巨而耗时的任务。我们无法以通用格式收集这些数据,因此无法将互补结果直接关联起来;这妨碍了我们识别异质数据趋势的能力。这项工作的总体假设是,使用各种分析技术以供应商特定格式收集的光谱成像数据可以转换为一个通用的计算平台,该平台允许研究小组之间的数据共享,异构数据中关系的可视化以及新的详细的定量结构/属性数据图像的构建。具体目标将测试以下假设:1)来自不同分析仪器的异质不相容数据,例如,显微拉曼光谱、FTIR光谱和扫描声学显微镜可以从供应商特定的格式转换到通用计算平台并在不损害原始数据的完整性的情况下进行管理; 2)由该通用计算平台提供的数据汇聚将促进和促进关系的可视化; 3)可以使用由该新的通用计算平台提供的数据储存库环境和使用该新的成像平台来构建详细的定量结构/性质数据图像,可以理解结构和性能之间的相互关系。
英文摘要
DESCRIPTION (provided by applicant): After more than three decades of research, breakdown at the dentin/adhesive (d/a) interface continues to plague the long-term clinical success of Class II composite restorations. A limitation of previous investigations of the interface is that the data was primarily qualitative in nature and that much of the data was collected using destructive techniques which provided a single measurement on one sample. Understanding the mechanisms and interfacial behavior of the d/a interface requires structure/property analyses that are complementary, synergistic and quantitative as well as qualitative. In most laboratories, these complementary analyses are performed on a heterogeneous mix of instrumentation which has been acquired from different manufacturers. Each instrument uses software unique to the vendor and frequently, the data must be stored in a proprietary format. Managing this mass of data, collected in several different formats, becomes a daunting, time-consuming task. Our inability to collect this data in a common format prohibits direct correlation of the complementary results; it impedes our ability to recognize trends in heterogeneous data. The overall hypothesis of this work is that spectral imaging data collected in vendor-specific formats using a variety of analytical techniques can be translated to a common computing platform that allows data sharing among research groups, visualization of relationships in heterogeneous data and the construction of new detailed, quantitative structure/property data images. The specific aims will test the following hypotheses: 1) heterogeneous incompatible data from different analytical instrumentation, e.g., micro-Raman spectroscopy, FTIR spectroscopy and scanning acoustic microscopy, can be translated from vendor-specific formats to a common computing platform and managed without compromising the integrity of the original data; 2) the data convergence provided by this common computing platform will promote and facilitate visualization of relationships; 3) detailed, quantitative structure/property data images can be constructed using the data repository environment offered by this new, common computing platform and using this new imaging platform, the interrelationship between structure and properties can be understood.
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