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81 条记录 (耗时 0.046 秒)

    System and Method for Classifying a Disease State Using Representative Data Sets
    71.
    发明申请
    System and Method for Classifying a Disease State Using Representative Data Sets 有权
    使用代表性数据集分类疾病状态的系统和方法

    公开(公告)号：US20100225911A1

    公开(公告)日：2010-09-09

    申请号：US12762609

    申请日：2010-04-19

    申请人： Jeffrey Cohen ,  John Maier

    发明人： Jeffrey Cohen ,  John Maier

    IPC分类号： G01J3/30

    CPC分类号： G01J3/02 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/0291 ,  G01N21/6458 ,  G01N21/6486 ,  G01N21/65 ,  G01N21/658 ,  G01N2021/656

    摘要： System and method for determining a disease state of a sample. A sample is positioned in a field of view and a first spectroscopic data set is obtained. The positional information is stored and the sample is treated with a contrast enhancing agent. The sample is repositioned in the field of view and a digital image is obtained. The spectroscopic data is linked with the digital image and a database comprising representative spectroscopic data sets is searched to classify the disease state of the sample. The disclosure also provides for the step of obtaining a processed derivative image and searching a database comprising representative processed derivative images to classify a disease state of the sample.

    摘要翻译： 用于确定样品的疾病状态的系统和方法。 将样品放置在视场中，并获得第一光谱数据组。 存储位置信息，并用对比度增强剂处理样品。 样本在视野中重新定位，并获得数字图像。 光谱数据与数字图像相关联，并且搜索包含代表性光谱数据集的数据库以分类样品的疾病状态。 本公开还提供了获得经处理的衍生图像并搜索包括代表性处理的衍生图像的数据库以分类样本的疾病状态的步骤。

    Spectral imaging of biofilms
    72.
    发明授权
    Spectral imaging of biofilms 有权
    生物膜的光谱成像

    公开(公告)号：US07760353B2

    公开(公告)日：2010-07-20

    申请号：US12248344

    申请日：2008-10-09

    申请人： John Maier ,  Jeffrey Cohen

    发明人： John Maier ,  Jeffrey Cohen

    IPC分类号： G01J3/44

    CPC分类号： G01N21/65 ,  G01J3/02 ,  G01J3/0227 ,  G01J3/0291 ,  G01J3/44 ,  G01N21/658 ,  G01N2021/656 ,  G01N2201/129

    摘要： A spectroscopic method and system to identify a biofilm of a microorganism. A sample containing a sample microorganism is irradiated with substantially monochromatic radiation. A Raman data set is obtained based on radiation scattered from the irradiated sample. A database is searched in accordance with the Raman data set in order to identify a known Raman data set from the database. The database contains a plurality of known Raman data sets where each known Raman data set is associated with a known sessile form of a corresponding known microorganism. A sessile form of the sample microorganism is identified based on the known Raman data set identified by the searching.

    摘要翻译： 鉴定微生物生物膜的光谱方法和系统。 用基本上单色的辐射照射含有样品微生物的样品。 基于从照射样品散射的辐射获得拉曼数据集。 根据拉曼数据集搜索数据库，以便从数据库中识别已知的拉曼数据集。 数据库包含多个已知的拉曼数据集，其中每个已知的拉曼数据集与相应的已知微生物的已知无形形式相关联。 基于通过搜索识别的已知拉曼数据集来鉴定样品微生物的固定形式。

    Spectroscopic systems and methods for classifying and pharmaceutically treating cells
    74.
    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。

    Spectroscopic system and method for predicting outcome of disease
    75.
    发明申请
    Spectroscopic system and method for predicting outcome of disease 有权
    光谱系统和预测疾病结局的方法

    公开(公告)号：US20080273199A1

    公开(公告)日：2008-11-06

    申请号：US12070010

    申请日：2008-02-14

    申请人： John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

    发明人： John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

    IPC分类号： G01J3/44

    CPC分类号： G01N21/65 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/44 ,  G01J2003/2826 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296

    摘要： 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.

    摘要翻译： 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。

    Opt-in data communication to wireless devices
    77.
    发明申请
    Opt-in data communication to wireless devices 审中-公开
    选择加入无线设备的数据通信

    公开(公告)号：US20070224979A1

    公开(公告)日：2007-09-27

    申请号：US11385110

    申请日：2006-03-21

    申请人： Shawn O'Neal ,  John Maier

    发明人： Shawn O'Neal ,  John Maier

    IPC分类号： G06F15/16 ,  H04M3/42

    CPC分类号： G06Q30/02

    摘要： A method and apparatus for providing opt-in data communications to a user of a wireless device such as a mobile telephone is provided. The user can call a telephone number associated with an interactive voice response unit, towards opting in to receipt of digital messaging, such as advertising or marketing material. In response, information captured during the telephone call can be used to prepare, format and transmit digital messaging to the user.

    摘要翻译： 提供了一种用于向诸如移动电话之类的无线设备的用户提供选择加入数据通信的方法和装置。 用户可以呼叫与交互式语音响应单元相关联的电话号码，以选择接收诸如广告或营销材料的数字消息。 作为响应，在电话呼叫期间捕获的信息可用于准备，格式化和传送数字消息给用户。

    System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy
    78.
    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。

    Invasive chemometry
    79.
    发明申请
    Invasive chemometry 有权

    公开(公告)号：US20060276713A1

    公开(公告)日：2006-12-07

    申请号：US11267913

    申请日：2005-11-03

    申请人： John Maier

    发明人： John Maier

    IPC分类号： A61B5/00

    CPC分类号： G06F19/10 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/1459 ,  A61B5/415 ,  A61B5/418 ,  A61B5/4519

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