Dentin/Adhesive Interface Structure/Property Imaging
牙本质/粘合剂界面结构/性能成像
基本信息
- 批准号:7017703
- 负责人:
- 金额:$ 7.18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-03-01 至 2008-02-28
- 项目状态:已结题
- 来源:
- 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
项目摘要
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.
描述(由申请人提供):经过三十多年的研究,牙本质/粘合剂 (d/a) 界面的破坏继续困扰着 II 类复合修复体的长期临床成功。先前对界面的研究的局限性在于,数据本质上主要是定性的,并且大部分数据是使用破坏性技术收集的,该技术提供了对一个样本的单一测量。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/性能分析。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异构仪器组合上进行的。每个仪器都使用供应商独有的软件,并且通常数据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且耗时的任务。我们无法以通用格式收集这些数据,因此无法直接关联互补结果;它阻碍了我们识别异构数据趋势的能力。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通用计算平台,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构建。详细的定量结构/性质数据图像。具体目标将测试以下假设:1)来自不同分析仪器(例如显微拉曼光谱、FTIR 光谱和扫描声学显微镜)的异构不兼容数据可以从供应商特定的格式转换为通用计算平台并在不受影响的情况下进行管理原始数据的完整性; 2)这个通用计算平台提供的数据融合将促进和促进关系的可视化; 3)使用这个新的通用计算平台提供的数据存储环境可以构建详细的、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。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Fuzzy clustering of Raman spectral imaging data with a wavelet-based noise-reduction approach.
使用基于小波的降噪方法对拉曼光谱成像数据进行模糊聚类。
- DOI:10.1366/000370206777886964
- 发表时间:2006
- 期刊:
- 影响因子:3.5
- 作者:Wang,Yu-Ping;Wang,Yong;Spencer,Paulette
- 通讯作者:Spencer,Paulette
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YONG WANG其他文献
YONG WANG的其他文献
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{{ truncateString('YONG WANG', 18)}}的其他基金
Infrared Spectroscopic Imaging and Machine Learning for Risk Stratification of Oral Epithelial Dysplasia
红外光谱成像和机器学习用于口腔上皮发育不良的风险分层
- 批准号:
10606086 - 财政年份:2023
- 资助金额:
$ 7.18万 - 项目类别:
Development of multifunctional resins for robust dentin bonding
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10412961 - 财政年份:2018
- 资助金额:
$ 7.18万 - 项目类别:
Multifunctional, Non-thermal Plasmas for Long-lasting Dental Adhesion
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- 批准号:
8470618 - 财政年份:2011
- 资助金额:
$ 7.18万 - 项目类别:
Multifunctional, Non-thermal Plasmas for Long-lasting Dental Adhesion
多功能非热等离子体可实现持久的牙齿粘合力
- 批准号:
8183962 - 财政年份:2011
- 资助金额:
$ 7.18万 - 项目类别:
Multifunctional, Non-thermal Plasmas for Long-lasting Dental Adhesion
多功能非热等离子体可实现持久的牙齿粘合力
- 批准号:
8668767 - 财政年份:2011
- 资助金额:
$ 7.18万 - 项目类别:
Multifunctional, Non-thermal Plasmas for Long-lasting Dental Adhesion
多功能非热等离子体可实现持久的牙齿粘合力
- 批准号:
8868096 - 财政年份:2011
- 资助金额:
$ 7.18万 - 项目类别:
Multifunctional, Non-thermal Plasmas for Long-lasting Dental Adhesion
多功能非热等离子体可实现持久的牙齿粘合力
- 批准号:
8288699 - 财政年份:2011
- 资助金额:
$ 7.18万 - 项目类别:
Effect of Noise Induced Hearing Loss on AVCN Principal Neurons
噪声性听力损失对 AVCN 主神经元的影响
- 批准号:
7100564 - 财政年份:2006
- 资助金额:
$ 7.18万 - 项目类别:
Effect of Noise Induced Hearing Loss on AVCN Principal Neurons
噪声性听力损失对 AVCN 主神经元的影响
- 批准号:
7383815 - 财政年份:2006
- 资助金额:
$ 7.18万 - 项目类别:
Effect of Noise Induced Hearing Loss on AVCN Principal Neurons
噪声性听力损失对 AVCN 主神经元的影响
- 批准号:
7197353 - 财政年份:2006
- 资助金额:
$ 7.18万 - 项目类别:
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