System and method for diagnosis tissue samples using fluorescence and raman techniques
    2.
    发明申请
    System and method for diagnosis tissue samples using fluorescence and raman techniques 审中-公开
    使用荧光和拉曼技术诊断组织样本的系统和方法

    公开(公告)号:US20120078524A1

    公开(公告)日:2012-03-29

    申请号:US13136366

    申请日:2011-07-29

    IPC分类号: G01N33/48 G01N21/64 G01J3/44

    摘要: A system and method for determining a diagnosis of a test biological sample. A system comprising a first illumination source to illuminate a sample, a first detector for generating a fluorescence data set of said sample, a means for determining a region of interest, a second illumination source to illuminate said region of interest, a second detector to generate a Raman data set of said region of interest, and a means for determining a diagnosis of said sample. A method comprising illuminating a sample, generating a fluorescence data set of said sample, and assessing the fluorescence data set to identify a region of interest, illuminating a region of interest, and generating Raman data set. This Raman data set may be assessed to determine a diagnosis of the sample. A diagnosis may include a metabolic state, a clinical outcome, a disease progression, a disease state, and combinations thereof.

    摘要翻译: 用于确定测试生物样品的诊断的系统和方法。 一种系统,包括用于照亮样品的第一照明源,用于产生所述样品的荧光数据集的第一检测器,用于确定感兴趣区域的装置,用于照亮所述感兴趣区域的第二照明源,产生 所述感兴趣区域的拉曼数据集,以及用于确定所述样本的诊断的装置。 一种方法,包括照亮样品,产生所述样品的荧光数据集,以及评估所述荧光数据集以识别感兴趣区域,照亮感兴趣区域,以及产生拉曼数据集。 可以评估该拉曼数据集以确定样品的诊断。 诊断可以包括代谢状态,临床结果,疾病进展,疾病状态及其组合。

    Distinguishing between invasive ductal carcinoma and invasive lobular carcinoma using raman molecular imaging
    3.
    发明授权
    Distinguishing between invasive ductal carcinoma and invasive lobular carcinoma using raman molecular imaging 有权
    使用拉曼分子成像区分浸润性导管癌和浸润性小叶癌

    公开(公告)号:US07956996B2

    公开(公告)日:2011-06-07

    申请号:US12206500

    申请日:2008-09-08

    IPC分类号: G01J3/44 G01N21/65

    摘要: A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

    摘要翻译: 一种用于提供测试乳房样品的乳腺疾病状态诊断的系统和方法。 提供了包含多个参考拉曼数据集的数据库,其中每个参考拉曼数据集具有相关联的已知乳房样本和相关联的已知乳腺疾病状态。 用基本上单色的光照射测试乳样品以产生散射的光子,得到测试拉曼数据集。 使用化学计量技术将测试拉曼数据集与多个参考拉曼数据集进行比较。 基于比较,提供了测试乳房样品的乳腺疾病状态的诊断。 乳腺疾病状态包括浸润性导管癌或侵袭性小叶癌疾病状态。

    Spectral Imaging of Biofilms
    4.
    发明申请
    Spectral Imaging of Biofilms 有权
    生物膜的光谱成像

    公开(公告)号:US20090033930A1

    公开(公告)日:2009-02-05

    申请号:US12248344

    申请日:2008-10-09

    IPC分类号: G01N21/65

    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。

    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    5.
    发明授权
    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue 有权
    将光谱测量与对比增强组织的数字图像相关联的方法

    公开(公告)号:US07477378B2

    公开(公告)日:2009-01-13

    申请号:US11527839

    申请日:2006-09-27

    IPC分类号: G01N3/44

    摘要: A system and method of correlating Raman measurements with digital images of a sample so to classify the sample's disease state. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. The treated sample is repositioned in the spectroscopic device's field of view and a digital image of the treated sample 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. For the spectroscopic data set of the sample, a database is searched to identify a spectroscopic data set, of a known sample having well characterized pathology, which matches the sample's spectroscopic data set.

    摘要翻译: 将拉曼测量与样本的数字图像相关联的系统和方法,以对样本的疾病状态进行分类。 对于位于分光装置的视野中的样品获得光谱数据集。 从样品中取出样品后,用对比度增强剂处理样品。 经处理的样品在分光装置的视野中重新定位,并获得处理过的样品的数字图像。 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。 对于样本的光谱数据集,搜索数据库以识别具有良好表征的病理学的已知样品的光谱数据集,其与样品的光谱数据集相匹配。

    Spectral imaging of biofilms
    6.
    发明申请
    Spectral imaging of biofilms 有权
    生物膜的光谱成像

    公开(公告)号:US20070109535A1

    公开(公告)日:2007-05-17

    申请号:US11598245

    申请日:2006-11-09

    IPC分类号: G01J3/44 G01N21/65

    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。

    Non-invasive biochemical analysis
    7.
    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

    IPC分类号: A61B5/00

    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。

    Digitizing biology
    8.
    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

    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。

    Computerized method of identifying and locating resonating, self-hybridizing nucleic acid elements
    10.
    发明授权
    Computerized method of identifying and locating resonating, self-hybridizing nucleic acid elements 失效
    识别和定位共振,自我杂交核酸元件的计算机化方法

    公开(公告)号:US06194155B1

    公开(公告)日:2001-02-27

    申请号:US09305408

    申请日:1999-05-05

    申请人: Jeffrey Cohen

    发明人: Jeffrey Cohen

    IPC分类号: C12Q168

    CPC分类号: G06F19/22 G06F19/16

    摘要: The present invention is a computerized method of identifying self-hybridizing sequences in nucleic acid strands. Once the sequences are identified, genetic information frequently residing in or near the sequences can be more easily identified. A computer program is used to automatically and rapidly conduct the steps of the method. Under the method, a practical minimum possible length of a stem sequence is first determined and entered into a program. A maximum loop size is then determined and entered. Subsequently, a mismatch factor is determined as well as whether to include G-T base pairs in total energy calculations. The calculations are then made by identifying a potential upstream stem sequence and iterating through possible downstream stem sequences. Once all possible downstream stem sequences have been compared to the upstream sequence, the upstream sequence is incremented by one base location, and once again all possible downstream sequences are compared. The total number of bonds is calculated using a look-up matrix for every possible combination of downstream and upstream stem sequences. If a sufficient number of possible base pairs exist, together creating sufficient energy for an R-structure to form, the potential R-structure is stored to a file. The R-structure is then analyzed to determine its maximum length. The total located R-structures are then printed out. The located R-structures may also be examined to locate all possible wing structure sequences within each R-structure using a similar iterative process.

    摘要翻译: 本发明是识别核酸链中自身杂交序列的计算机化方法。 一旦识别出序列,可以更容易地识别频繁存在于序列中或附近的遗传信息。 使用计算机程序来自动且快速地执行该方法的步骤。 在该方法下,首先确定茎序列的实际最小可能长度并将其输入到程序中。 然后确定并输入最大循环大小。 随后,确定不匹配因子以及是否在总能量计算中包括G-T碱基对。 然后通过鉴定潜在的上游茎序列并重复通过可能的下游茎序列来进行计算。 一旦所有可能的下游干细胞序列已经与上游序列进行比较,则上游序列增加一个碱基位置,并且再次比较所有可能的下游序列。 使用用于下游和上游茎序列的每个可能组合的查找矩阵来计算结合的总数。 如果存在足够数量的可能的碱基对,一起为R结构形成足够的能量,则将潜在的R结构存储到文件中。 然后分析R结构以确定其最大长度。 然后打印出总位置的R结构。 也可以使用相似的迭代过程来检查定位的R结构以定位每个R结构内的所有可能的翼结构序列。