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SOFTWARE DEVELOPMENT FOR REAL TIME ANALYSIS OF IN VIVO SPECTRA

SOFTWARE DEVELOPMENT FOR REAL TIME ANALYSIS OF IN VIVO SPECTRA
体内光谱实时分析的软件开发
批准号:
7955839
负责人:
Ramachandra Rao Dasari
金额:
$2.85万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-06-01 至 2010-05-31

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项目成果

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中文摘要
翻译
这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者(PI)可能从另一个NIH来源获得了主要资金, 因此可以在其他CRISP条目中表示。所列机构为 研究中心,而研究中心不一定是研究者所在的机构。 我们正在开发软件,以实现多模态光谱作为实时指导活检。FastEEM荧光分光光度计可在几分之一秒内收集反射光谱和荧光光谱。然后校准这些光谱以校正入射光的线形和强度以及检测器的背景电荷。然后使用三峰光谱算法(漫反射、光散射和固有荧光光谱)来提取组织特异性参数,例如核尺寸分布、生化成分(例如NADH和胶原蛋白)和约化散射系数。这些组织参数然后用于将组织分类为正常或患病。该软件将特别适用于每种组织,因为不同组织部位的建模略有不同。我们使用图形化编程环境的国家仪器LabView结合Matlab来实现这些算法沿着与控制软件的FastEEMS荧光光谱仪。我们的光谱分析算法需要不到一秒钟的组织表征。我们还收集和存储与每个测量相关的误差。
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We are developing software to implement multi-modal spectroscopy as a real-time guide to biopsy. The FastEEM spectrofluorometer collects reflectance and fluorescence spectra in a fraction of a second. These spectra are then calibrated to correct for the lineshape and intensity of the incident light and the background charge of the detector. Trimodal spectroscopic algorithms (diffuse reflectance, light scattering, and intrinsic fluorescence spectroscopy) are then used to extract tissue specific parameters such as nuclear size distribution, biochemical constituents such as NADH and collagen, and reduced scattering coefficients. These tissue parameters are then used to classify tissue as normal or diseased. The software will be particularly adapted for each tissue as the modeling varies somewhat for various tissue sites. We use the graphical programming environment of National Instruments LabView in combination with Matlab to implement these algorithms along with the control software for the FastEEMspectrofluorometer. Our spectral analysis algorithms require less than one second for tissue characterization. We also collect and store the error associated with each measurement.
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