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    Digitizing biology
    1.
    发明申请
    Digitizing biology 审中-公开
    数字化生物学

    公开(公告)号：US20060253261A1

    公开(公告)日：2006-11-09

    申请号：US11484040

    申请日：2006-07-11

    申请人： John Maier ,  Patrick Treado ,  Jeffrey Cohen ,  Jason Neiss

    发明人： John Maier ,  Patrick Treado ,  Jeffrey Cohen ,  Jason Neiss

    IPC分类号： G06F19/00 ,  A61B5/00

    CPC分类号： G01N21/65

    摘要： 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.

    摘要翻译： 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。

    Method and apparatus for spectral modulation compensation
    3.
    发明申请
    Method and apparatus for spectral modulation compensation 有权
    光谱调制补偿的方法和装置

    公开(公告)号：US20060001867A1

    公开(公告)日：2006-01-05

    申请号：US10879632

    申请日：2004-06-30

    申请人： John Maier ,  Jason Neiss ,  Shona Stewart ,  Matthew Nelson ,  Joseph Demuth ,  Patrick Treado

    发明人： John Maier ,  Jason Neiss ,  Shona Stewart ,  Matthew Nelson ,  Joseph Demuth ,  Patrick Treado

    IPC分类号： G01J3/44 ,  G01N21/65

    CPC分类号： G01N21/65 ,  G01J3/0297 ,  G01J3/44 ,  G01N2021/656

    摘要： The embodiments disclosed herein generally relate to identifying and removing background noise in spectroscopic imaging of a sample. Because white-light has essentially constant intensity at every wavelength, background noise caused by white light can be identified and removed from spectroscopic measurements including Raman spectroscopy. Thus, once the Raman spectrum for a sample is obtained, it may be corrected to remove the white-light dispersive spectrum in accordance with the embodiments disclosed herein.

    摘要翻译： 本文公开的实施例通常涉及在样本的光谱成像中识别和去除背景噪声。 因为白光在每个波长处具有基本恒定的强度，所以可以从包括拉曼光谱的光谱测量中识别和去除由白光引起的背景噪声。 因此，一旦获得样品的拉曼光谱，就可以根据本文公开的实施方案来校正其去除白光色散谱。

    Non-invasive biochemical analysis
    6.
    发明申请
    Non-invasive biochemical analysis 有权
    非侵入性生化分析

    公开(公告)号：US20060276697A1

    公开(公告)日：2006-12-07

    申请号：US11146458

    申请日：2005-06-07

    申请人： Joseph Demuth ,  Patrick Treado ,  John Maier ,  Jeffrey Cohen

    发明人： Joseph Demuth ,  Patrick Treado ,  John Maier ,  Jeffrey Cohen

    IPC分类号： A61B5/00

    CPC分类号： A61B5/14546 ,  A61B5/14532 ,  A61B5/1455 ,  A61B5/415 ,  A61B5/418

    摘要： The invention relates to methods and devices for assessing one or more blood components in an animal. The present invention permits non-invasive assessment of blood components in a body structure containing blood and other tissue types by assessing multiple regions of a tissue surface for an optical characteristic of blood and separately assessing one or more optical (e.g., Raman or NIR) characteristics of the blood component for one or more regions that exhibit the optical characteristic of blood.

    摘要翻译： 本发明涉及用于评估动物体内一种或多种血液成分的方法和装置。 本发明通过评估血液的光学特性的组织表面的多个区域并分别评估一种或多种光学（例如，拉曼或NIR）特征，允许对包含血液和其它组织类型的体内结构中的血液成分进行非侵入性评估 的血液成分用于表现出血液光学特性的一个或多个区域。

    Method and apparatus for super montage large area spectroscopic imaging
    7.
    发明申请
    Method and apparatus for super montage large area spectroscopic imaging 有权

    公开(公告)号：US20060013500A1

    公开(公告)日：2006-01-19

    申请号：US11228382

    申请日：2005-09-19

    申请人： John Maier ,  Jason Neiss

    发明人： John Maier ,  Jason Neiss

    IPC分类号： G06K9/40

    CPC分类号： G06T5/006 ,  G01J2003/2826 ,  G06T5/50

    摘要： The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.

    System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy
    8.
    发明授权
    System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy 有权
    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

    公开(公告)号：US07570356B2

    公开(公告)日：2009-08-04

    申请号：US11650378

    申请日：2007-01-05

    申请人： Janice L. Panza ,  John Maier ,  Jason Neiss

    发明人： Janice L. Panza ,  John Maier ,  Jason Neiss

    IPC分类号： G01J3/44 ,  G01J3/00

    CPC分类号： G01J3/44 ,  G01J3/28 ,  G01J3/36 ,  G01N15/1475 ,  G01N21/65 ,  G01N2015/1006 ,  G01N2015/1488 ,  G01N2021/656

    摘要： 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.

    摘要翻译： 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。

    Spectroscopic systems and methods for classifying and pharmaceutically treating cells
    9.
    发明申请
    Spectroscopic systems and methods for classifying and pharmaceutically treating cells 有权
    用于分类和药物治疗细胞的光谱系统和方法

    公开(公告)号：US20100093015A1

    公开(公告)日：2010-04-15

    申请号：US12462350

    申请日：2009-08-03

    申请人： Janice L. Panza ,  John Maier ,  Jason Neiss

    发明人： Janice L. Panza ,  John Maier ,  Jason Neiss

    IPC分类号： C12Q1/02 ,  C12M1/34

    CPC分类号： G01J3/44 ,  G01J3/10 ,  G01J3/36 ,  G01N15/1475 ,  G01N21/6458 ,  G01N21/65 ,  G01N2015/1006 ,  G01N2015/1488 ,  G02B21/0096

    摘要： 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.

    摘要翻译： 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。

    System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy
    10.
    发明申请
    System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy 有权
    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

    公开(公告)号：US20070153268A1

    公开(公告)日：2007-07-05

    申请号：US11650378

    申请日：2007-01-05

    申请人： Janice Panza ,  John Maier ,  Jason Neiss

    发明人： Janice Panza ,  John Maier ,  Jason Neiss

    IPC分类号： G01J3/44 ,  G01N21/65

    CPC分类号： G01J3/44 ,  G01J3/28 ,  G01J3/36 ,  G01N15/1475 ,  G01N21/65 ,  G01N2015/1006 ,  G01N2015/1488 ,  G01N2021/656

    摘要： 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.

    摘要翻译： 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。