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    • 1. 发明申请
    • System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy
    • 使用拉曼光谱分析细胞的系统和方法以及这种细胞的药物处理
    • US20070153268A1
    • 2007-07-05
    • US11650378
    • 2007-01-05
    • Janice PanzaJohn MaierJason Neiss
    • Janice PanzaJohn MaierJason Neiss
    • G01J3/44G01N21/65
    • G01J3/44G01J3/28G01J3/36G01N15/1475G01N21/65G01N2015/1006G01N2015/1488G01N2021/656
    • A system and method to distinguish normal cells from apoptotic cells. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference Raman data sets for normal cells and a second plurality of reference Raman data sets for apoptotic cells. A sample is irradiated with substantially monochromatic light generating a target Raman data set based on scattered photons. The target Raman data set is transformed into a vector space defined by the pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, apoptotic cells, and a combination of normal and apoptotic cells. The sample includes the step of treating the sample with a pharmaceutical agent prior to irradiating the sample. Based on the classification, the therapeutic efficiency of the pharmaceutical agent is assessed.
    • 将正常细胞与凋亡细胞区分开的系统和方法。 选择预定矢量空间,其中矢量空间在数学上描述用于正常细胞的第一多个参考拉曼数据集和用于凋亡细胞的第二多个参考拉曼数据集。 用基本上单色的光照射样品,产生基于散射光子的目标拉曼数据集。 目标拉曼数据集被转换成由预定向量空间定义的向量空间。 在预定向量空间中分析变换数据的分布。 基于分析,样品被分类为含有正常细胞,凋亡细胞,以及正常细胞和凋亡细胞的组合。 样品包括在照射样品之前用药剂处理样品的步骤。 根据分类,评估药剂的治疗效果。
    • 2. 发明授权
    • Spectroscopic systems and methods for classifying and pharmaceutically treating cells
    • 用于分类和药物治疗细胞的光谱系统和方法
    • US08379197B2
    • 2013-02-19
    • US12462350
    • 2009-08-03
    • Janice PanzaJohn S. MaierJason Neiss
    • Janice PanzaJohn S. MaierJason Neiss
    • G01J3/00G01J3/44
    • G01J3/44G01J3/10G01J3/36G01N15/1475G01N21/6458G01N21/65G01N2015/1006G01N2015/1488G02B21/0096
    • A system and method to distinguish normal cells from cells having undergone a biochemical change. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference spectral data sets for normal cells and a second plurality of reference spectral data sets for cells having undergone a biochemical change. A sample is irradiated to generate a target spectral data set based on photons absorbed, reflected, emitted, or scattered by the sample. The target spectral data set is transformed into a pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, cells having undergone a biochemical change, and combinations thereof. The method includes treating the sample with a pharmaceutical agent prior to irradiating the sample and using the classification to assess the efficiency of the pharmaceutical agent.
    • 将正常细胞与经历生物化学变化的细胞区分开的系统和方法。 选择预定向量空间,其中矢量空间数学地描述正常小区的第一多个参考频谱数据集,以及经历生物化学变化的小区的第二多个参考频谱数据集。 照射样品以基于样品吸收,反射,发射或散射的光子产生目标光谱数据集。 将目标光谱数据集转换为预定向量空间。 在预定向量空间中分析变换数据的分布。 基于该分析,将样品分类为含有正常细胞,经历生物化学变化的细胞及其组合。 该方法包括在照射样品之前用药剂处理样品并使用分类来评估药剂的效率。
    • 6. 发明申请
    • Spectroscopic systems and methods for classifying and pharmaceutically treating cells
    • 用于分类和药物治疗细胞的光谱系统和方法
    • US20100093015A1
    • 2010-04-15
    • US12462350
    • 2009-08-03
    • Janice L. PanzaJohn MaierJason Neiss
    • Janice L. PanzaJohn MaierJason Neiss
    • C12Q1/02C12M1/34
    • G01J3/44G01J3/10G01J3/36G01N15/1475G01N21/6458G01N21/65G01N2015/1006G01N2015/1488G02B21/0096
    • A system and method to distinguish normal cells from cells having undergone a biochemical change. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference spectral data sets for normal cells and a second plurality of reference spectral data sets for cells having undergone a biochemical change. A sample is irradiated to generate a target spectral data set based on photons absorbed, reflected, emitted, or scattered by the sample. The target spectral data set is transformed into a pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, cells having undergone a biochemical change, and combinations thereof. The method includes treating the sample with a pharmaceutical agent prior to irradiating the sample and using the classification to assess the efficiency of the pharmaceutical agent.
    • 将正常细胞与经历生物化学变化的细胞区分开的系统和方法。 选择预定向量空间,其中矢量空间数学地描述正常小区的第一多个参考频谱数据集,以及已经历生化变化的小区的第二多个参考频谱数据集。 照射样品以基于样品吸收,反射,发射或散射的光子产生目标光谱数据集。 将目标光谱数据集转换为预定向量空间。 在预定向量空间中分析变换数据的分布。 基于该分析,将样品分类为含有正常细胞,经历生物化学变化的细胞及其组合。 该方法包括在照射样品之前用药剂处理样品并使用分类来评估药剂的效率。
    • 9. 发明授权
    • System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy
    • 使用拉曼光谱分析细胞的系统和方法以及这种细胞的药物处理
    • US07570356B2
    • 2009-08-04
    • US11650378
    • 2007-01-05
    • Janice L. PanzaJohn MaierJason Neiss
    • Janice L. PanzaJohn MaierJason Neiss
    • G01J3/44G01J3/00
    • G01J3/44G01J3/28G01J3/36G01N15/1475G01N21/65G01N2015/1006G01N2015/1488G01N2021/656
    • A system and method to distinguish normal cells from apoptotic cells. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference Raman data sets for normal cells and a second plurality of reference Raman data sets for apoptotic cells. A sample is irradiated with substantially monochromatic light generating a target Raman data set based on scattered photons. The target Raman data set is transformed into a vector space defined by the pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, apoptotic cells, and a combination of normal and apoptotic cells. The sample includes the step of treating the sample with a pharmaceutical agent prior to irradiating the sample. Based on the classification, the therapeutic efficiency of the pharmaceutical agent is assessed.
    • 将正常细胞与凋亡细胞区分开的系统和方法。 选择预定矢量空间,其中矢量空间在数学上描述用于正常细胞的第一多个参考拉曼数据集和用于凋亡细胞的第二多个参考拉曼数据集。 用基本上单色的光照射样品,产生基于散射光子的目标拉曼数据集。 目标拉曼数据集被转换成由预定向量空间定义的向量空间。 在预定向量空间中分析变换数据的分布。 基于分析,样品被分类为含有正常细胞,凋亡细胞,以及正常细胞和凋亡细胞的组合。 样品包括在照射样品之前用药剂处理样品的步骤。 根据分类,评估药剂的治疗效果。
    • 10. 发明申请
    • Digitizing biology
    • 数字化生物学
    • US20060253261A1
    • 2006-11-09
    • US11484040
    • 2006-07-11
    • John MaierPatrick TreadoJeffrey CohenJason Neiss
    • John MaierPatrick TreadoJeffrey CohenJason Neiss
    • G06F19/00A61B5/00
    • G01N21/65
    • A method and apparatus for determining the progress of a disease. A pre-determined vector space is determined where the vector space mathematically describes a reference set of wavelength resolved data at a plurality of time intervals. A sample containing at least one cell is irradiated with light. Target data is collected where the target data corresponds to at least one of light emitted from or scattered by the sample and includes a plurality of spatially accurate wavelength resolved measurements of light. The target data is transformed into the pre-determined vector space for each spatially accurate wavelength resolved measurement of light. A distribution of transformed points is analyzed in the plurality of pre-determined vector space. Based on the analysis, a transition of a disease condition of the sample is classified.
    • 用于确定疾病进展的方法和装置。 确定矢量空间,其中矢量空间以多个时间间隔数学地描述波长分辨数据的参考集合。 用光照射含有至少一个电池的样品。 收集目标数据,其中目标数据对应于由样本发射或散射的光中的至少一种,并且包括多个空间上精确的波长分辨的光测量。 每个空间精确的波长分辨光测量,将目标数据转换成预定向量空间。 在多个预定向量空间中分析变换点的分布。 根据分析,对样本的疾病状况进行分类。