Dentin/Adhesive Interface Structure/Property Imaging

描述(申请人提供)：经过三十多年的研究，牙本质/粘结剂(d/a)界面的故障继续困扰着II类复合修复体的长期临床成功。以前对界面的调查的一个局限性是，数据主要是定性的，而且许多数据是使用破坏性技术收集的，这种技术只对一个样本进行一次测量。要了解d/a界面的机制和界面行为，需要进行互补、协同、定量和定性的结构/性能分析。在大多数实验室中，这些互补性分析是对从不同制造商获得的不同组合的仪器进行的。每台仪器都使用供应商独有的软件，通常，数据必须以专有格式存储。管理以几种不同格式收集的海量数据成为一项令人生畏、耗时的任务。我们无法以一种共同的格式收集这些数据，这妨碍了互补结果的直接关联；这妨碍了我们认识不同数据中的趋势的能力。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到一个通用计算平台，该平台允许研究小组之间共享数据，可视化不同数据中的关系，并构建新的详细、定量的结构/属性数据图像。具体目标将检验下列假设：1)来自不同分析仪器的不同不兼容数据，例如微拉曼光谱、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共同的计算平台并进行管理，而不会损害原始数据的完整性；2)由这个共同的计算平台提供的数据融合将促进和促进关系的可视化；3)可以使用这个新的共同的计算平台提供的数据仓库环境来构建详细的、定量的结构/性质数据图像，并且使用这个新的成像平台，可以理解结构和性质之间的相互关系。

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.