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    • 42. 发明授权
    • Spectroscopic system and method for predicting outcome of disease
    • 光谱系统和预测疾病结局的方法
    • US07808633B2
    • 2010-10-05
    • US12070010
    • 2008-02-14
    • John MaierJeffrey CohenJanice L. PanzaAmy J. Drauch
    • John MaierJeffrey CohenJanice L. PanzaAmy J. Drauch
    • G01J3/44G01N21/65
    • G01N21/65G01J3/02G01J3/0291G01J3/0294G01J3/2823G01J3/44G01J2003/2826G01N2021/656G01N2201/1293G01N2201/1296
    • A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.
    • 一种预测测试样本疾病进展的系统和方法。 提供了一组已知的生物样品。 每个已知的生物样品具有相关的已知结果,包括非患病样品或患病样品。 获得每个已知生物样品的拉曼数据集。 分析每个拉曼数据集,以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。 生成第一个数据库,其中第一个数据库包含所有患病样本的参考拉曼数据集。 生成第二数据库,其中第二数据库包含所有非患病样本的参考拉曼数据集。 接受测试生物样品的测试拉曼数据集,其中测试生物样品具有未知的疾病状态。 提供了关于测试样品是否是非患病样品或患病样品的诊断。 通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。 可以提供疾病进展的预测。
    • 46. 发明申请
    • Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    • 将光谱测量与对比增强组织的数字图像相关联的方法
    • US20070127022A1
    • 2007-06-07
    • US11647195
    • 2006-12-29
    • Jeffrey CohenJohn MaierRobert Schweitzer
    • Jeffrey CohenJohn MaierRobert Schweitzer
    • G01J3/28
    • G01N21/65G01J3/0235G01J3/0264G01J3/0289G01J3/0291G01J3/12G01J3/2823G01J3/44G01N21/6458G01N21/6486G01N21/658G01N2021/6417G01N2021/6423G01N2021/656
    • A system and method of correlating Raman measurements with digital images of a treated sample and using this correlation to classify the disease state of the sample. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. The positional information about the field of view is stored. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. Using the stored positional information for the field of view, the treated sample is repositioned in the spectroscopic device's field of view. A digital image of the treated sample positioned in the field of view is obtained. The spectroscopic data set is linked with the digital image by defining a transformation to map the image spatial coordinates of the digital image to the spectral spatial coordinates of the spectroscopic data. A database having a plurality of spectroscopic data sets, for samples having well characterized pathology, is provided. Each spectroscopic data set is linked to a corresponding digital image, and each spectroscopic data set is associated with the known sample. Each corresponding digital image is associated with the known sample treated with a contrast enhancing agent. For the spectroscopic data set of the sample, the database is searched to identify a spectroscopic data set, of a known sample, matching the sample's spectroscopic data set.
    • 将拉曼测量与处理的样品的数字图像相关联并使用该相关性来分类样品的疾病状态的系统和方法。 对于位于分光装置的视野中的样品获得光谱数据集。 存储关于视场的位置信息。 从样品中取出样品后,用对比度增强剂处理样品。 使用所存储的视场的位置信息,处理的样品在分光装置的视场中重新定位。 获得定位在视场中的被处理样品的数字图像。 通过定义将数字图像的图像空间坐标映射到光谱数据的光谱空间坐标的变换,光谱数据集与数字图像相关联。 提供了具有多个光谱数据集的数据库,用于具有良好表征的病理学的样本。 每个光谱数据集与相应的数字图像相关联,并且每个光谱数据集与已知样本相关联。 每个相应的数字图像与用对比度增强剂处理的已知样品相关联。 对于样本的光谱数据集,搜索数据库以识别与样本的光谱数据集匹配的已知样本的光谱数据集。
    • 49. 发明授权
    • Raman characterization of transplant tissue
    • 移植组织的拉曼表征
    • US08253936B2
    • 2012-08-28
    • US12537513
    • 2009-08-07
    • Jeffrey CohenJohn S MaierShona Stewart
    • Jeffrey CohenJohn S MaierShona Stewart
    • G01J3/44
    • G01N21/65G01J3/02G01J3/0237G01J3/0291G01J3/0294G01J3/44G01N2021/656
    • A system and method for determining a disease state and clinical outcome of a sample. A sample is illuminated to produce Raman scattered photons, the Raman scattered photons are assessed to generate a Raman spectroscopic data set representative of the sample, wherein said Raman spectroscopic data set comprises at least one of: a Raman spectra of the sample and a spatially accurate wavelength resolved Raman image of the sample; the Raman spectroscopic data set is evaluated using a chemometric technique to classify the disease state of the sample as: acute, chronic, incipient, or none. In one embodiment, the chemontric technique is principle component analysis. In another embodiment, the sample is obtained prior to transplantation and analysis can determine the likelihood of rejection by a host.
    • 用于确定样品的疾病状态和临床结果的系统和方法。 照射样品以产生拉曼散射光子,评估拉曼散射光子以产生代表样品的拉曼光谱数据集,其中所述拉曼光谱数据集包括以下至少一个:样品的拉曼光谱和空间准确的 样品的波长分辨拉曼图像; 使用化学计量技术评估拉曼光谱数据集,以将样品的疾病状态分类为急性,慢性,初期或无。 在一个实施方案中,化学方法是主要成分分析。 在另一个实施方案中,在移植之前获得样品,并且分析可以确定宿主排斥的可能性。