公开(公告)号：US09212996B2

公开(公告)日：2015-12-15

申请号：US13958909

申请日：2013-08-05

Applicant: TellSpec Inc.

Inventor： William Stephen Watson ,  Isabel De Oliveira Correa

IPC: G01N21/25 ,  G01N21/65 ,  G01N21/31 ,  G01N21/64

CPC classification number: G01N21/31 ,  A61B10/0045 ,  A61B2010/0083 ,  G01N21/64 ,  G01N21/65 ,  G01N33/02 ,  G01N2021/6493 ,  G01N2201/0221 ,  G01N2201/12 ,  G01N2201/129 ,  G01N2201/1293

Abstract: Obtaining two spectra from the same sample under two different conditions at about the same time for comparison, where at least one of the spectra measures magnitudes of electromagnetic radiation on at least four different ranges or weightings of wavelengths or frequencies. Classifying a sample using these spectra obtained by a user, and using spectra obtained from different samples by different users to identify the sample. Computing correlations between data related to food and ingredient consumption by one or more users over time, and data related to passive personal log data, user entered feedback, user interaction data or personal information related to those users, and detecting: foods or ingredients to which a user may be allergic or intolerant; a possible medical condition of a user; a possible link between food and ingredient consumption and a medical or health condition; or a similarity between at least two such users.

Abstract translation: 在两个不同的条件下，在两个不同的条件下从相同的样品获得两个光谱，大约在同一时间进行比较，其中至少一个光谱测量了至少四个不同的波长或频率范围或重量的电磁辐射的幅度。 使用用户获得的这些光谱对样品进行分类，并使用不同用户从不同样品获得的光谱来鉴定样品。 随着时间的推移，计算一个或多个用户与食物和成分消耗相关的数据之间的相关性，以及与被动个人日志数据，用户输入的反馈，用户交互数据或与这些用户相关的个人信息相关的数据，以及检测： 用户可能会过敏或不耐受; 用户可能的医疗状况; 食物和成分消耗与医疗或健康状况之间的可能联系; 或至少两个此类用户之间的相似性。

公开(公告)号：US09207182B2

公开(公告)日：2015-12-08

申请号：US13032145

申请日：2011-02-22

Applicant: Akira Sato ,  Takeshi Watanabe ,  Shinichi Takimoto

Inventor： Akira Sato ,  Takeshi Watanabe ,  Shinichi Takimoto

IPC: G01N21/65

CPC classification number: G01N21/65 ,  G01N2021/653 ,  G01N2201/1293

Abstract: A plurality of Raman spectral datasets of an unknown sample acquired under the same measurement conditions is selected in a plurality of Raman spectral data items having different spectral profiles acquired by setting different measurement conditions in a plurality of unknown mixed samples, a spectrum acquired under the same measurement conditions as those of the Raman spectral dataset of the unknown sample is selected in the spectra of the benchmark molecule to be classified, a PCA loading is calculated from the Raman spectral dataset of the unknown sample, the correlation between the calculated PCA loading and the selected spectrum of the benchmark molecule to be classified is calculated, and the PCA loading having a highest correlation with the spectrum of the benchmark molecule to be classified is determined in the PCA loadings calculated from a plurality of Raman spectral datasets of the unknown sample having different measurement conditions.

Abstract translation: 在相同测量条件下获取的未知样本的多个拉曼光谱数据集在具有不同光谱分布的多个拉曼光谱数据项中选择，该数据项通过在多个未知混合样本中设置不同的测量条件而获得， 在待分类的基准分子的光谱中选择未知样品的拉曼光谱数据集的测量条件，从未知样品的拉曼光谱数据集计算PCA负载，计算的PCA负载与 计算要分类的基准分子的选定光谱，并且在从具有不同样品的未知样品的多个拉曼光谱数据集计算的PCA载量中确定与要分类的基准分子的光谱相关性最高的PCA载量 测量条件。

公开(公告)号：US09080977B2

公开(公告)日：2015-07-14

申请号：US11877414

申请日：2007-10-23

Applicant: Pamela Contag ,  Bradley W. Rice

Inventor： Pamela Contag ,  Bradley W. Rice

IPC: A61B5/05 ,  G01N21/64 ,  A61B19/00 ,  A61B18/20 ,  A61B17/00 ,  A61B18/00

CPC classification number: G01N21/6428 ,  A61B18/20 ,  A61B34/20 ,  A61B90/36 ,  A61B2017/00057 ,  A61B2018/00642 ,  A61B2018/00904 ,  A61B2034/2055 ,  A61B2090/373 ,  G01N21/6456 ,  G01N2201/1293

Abstract: Disclosed are apparatus and methods for quantifying fluorescent distribution within a surgery site of a patient in an operating room, wherein the surgery site has been exposed for a surgery procedure. Excitation light is provided at each of a plurality of positions at the surgery site in a method embodiment. The excitation light is significantly more intense than any other light sources that are present in the operating room. Fluorescent emission is detected from the surgery site in response to each of the excitation light positions so as to obtain a fluorescent emission image for each excitation light position. The fluorescent light distribution that is internal to a surface of the surgery site is quantified based on the obtained fluorescent emission images. In one aspect, the quantifying operation includes utilizing a structured light source to form a structured light grid over the surgery site surface to thereby obtain a three dimensional (3D) surface mesh of the surface of the surgery site based on the structured light grid.

Abstract translation: 公开了用于量化在手术室中的患者的手术部位内的荧光分布的装置和方法，其中手术部位暴露于手术过程。 在方法实施例中，在手术部位的多个位置的每个位置设置有激发光。 激发光比手术室中存在的任何其他光源明显更强烈。 响应于每个激发光位置从手术部位检测荧光发射，以获得每个激发光位置的荧光发射图像。 基于获得的荧光发射图像来量化在手术部位的表面内部的荧光分布。 一方面，量化操作包括利用结构化光源在手术位置表面上形成结构化光栅，从而基于结构化光栅获得手术部位表面的三维（3D）表面网格。

公开(公告)号：US20150106031A1

公开(公告)日：2015-04-16

申请号：US13397300

申请日：2012-02-15

Applicant: Omer Refa Koseoglu ,  Adnan Al-Hajji ,  Anaam Al-Shaikh Ali

Inventor： Omer Refa Koseoglu ,  Adnan Al-Hajji ,  Anaam Al-Shaikh Ali

IPC: G06F19/00 ,  G01N21/359 ,  G01N21/3504 ,  G01N33/28 ,  G01J3/42

CPC classification number: G01N21/359 ,  G01N21/3504 ,  G01N21/3577 ,  G01N33/2823 ,  G01N2201/1293

Abstract: A system and a method for calculating the cetane number, pour point, cloud point and aniline point of a gas oil fraction of a crude oil from the density and near infrared spectroscopy of a sample of the crude oil.

Abstract translation: 从原油样品的密度和近红外光谱计算原油粗柴油馏分的十六烷值，倾点，浊点和苯胺点的方法。

公开(公告)号：US09001335B2

公开(公告)日：2015-04-07

申请号：US13743671

申请日：2013-01-17

Applicant: MKS Instruments, Inc.

Inventor： Charles Mark Phillips ,  Barbara Marshik-Geurts ,  Leonard I. Kamlet ,  Martin L. Spartz ,  Vidi Saptari

IPC: G01J3/45 ,  G01B9/02 ,  G01N21/00 ,  G01N21/3504 ,  G01J3/02 ,  G01J3/42 ,  G01N21/03 ,  G01N21/45 ,  G01J3/453 ,  G01N21/05 ,  G01N21/09 ,  G01N21/35

CPC classification number: G01N21/3504 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/42 ,  G01J3/453 ,  G01N21/031 ,  G01N21/05 ,  G01N21/09 ,  G01N21/45 ,  G01N2021/3595 ,  G01N2201/061 ,  G01N2201/0636 ,  G01N2201/1293

Abstract: A method is provided for monitoring one or more silicon-containing compounds present in a biogas. The method includes generating a first absorption spectrum based on a ratio of a first spectral measurement and a second spectral measurement. The first spectral measurement is from a non-absorptive gas having substantially no infrared absorptions in a specified wavelength range of interest and the second spectral measurement is from a sample gas comprising the biogas. The method includes generating at least one surrogate absorption spectrum based on, at least, individual absorption spectrum for each of a subset of one or more silicon-containing compounds selected from a larger set of known silicon-containing compounds with known concentrations. A total concentration of the one or more silicon-containing compounds in the biogas can be calculated based on the first absorption spectrum and the at least one surrogate absorption spectrum.

Abstract translation: 提供了一种用于监测存在于沼气中的一种或多种含硅化合物的方法。 该方法包括基于第一光谱测量和第二光谱测量的比率产生第一吸收光谱。 第一光谱测量来自在感兴趣的特定波长范围内基本上没有红外吸收的非吸收性气体，并且第二光谱测量来自包括生物气体的样品气体。 所述方法包括基于选自具有已知浓度的较大组已知含硅化合物的一种或多种含硅化合物的子集中的每一个，至少基于至少单独的吸收光谱产生至少一种替代吸收光谱。 可以基于第一吸收光谱和至少一个替代吸收光谱来计算生物气体中一种或多种含硅化合物的总浓度。

公开(公告)号：US20150039265A1

公开(公告)日：2015-02-05

申请号：US14386902

申请日：2013-03-20

Applicant: Spectrayls Innovation

Inventor： Abdelhaq Acharid ,  Inès Birlouez-Aragon

IPC: G01N21/47 ,  G01N21/64

CPC classification number: G01N21/47 ,  G01N21/64 ,  G01N21/645 ,  G01N2021/1734 ,  G01N2021/6419 ,  G01N2021/6421 ,  G01N2021/6493 ,  G01N2201/062 ,  G01N2201/1293

Abstract: A method for characterising at least one sample, the method including the steps of a) the lighting of each sample to be analysed by N>1 light rays (LE1-LE3) at respective wavelengths of light (λε1-λE3); b) the acquisition, for each of the light rays, of at least one fluorescent light intensity and at least one elastic scattering light intensity emitted by each sample; c) determining a vector indicator for each sample based on said fluorescent and elastic scattering light intensities; d) determining at least one parameter characterising each sample, or a method to which the sample was submitted, based on the corresponding vector indicator. Apparatus for implementing such a method is also provided.

Abstract translation: 一种用于表征至少一个样品的方法，所述方法包括以下步骤：a）在各个波长的光（λ＆amp; 1-λE3）下通过N> 1个光线（LE1-LE3）分析的每个样品的点亮; b）对于每个光线获取至少一个荧光强度和由每个样品发射的至少一个弹性散射光强度; c）基于所述荧光和弹性散射光强度确定每个样品的矢量指示符; d）基于相应的向量指示，确定表征每个样本的至少一个参数或者提交样本的方法。 还提供了用于实现这种方法的装置。

公开(公告)号：US20130337499A1

公开(公告)日：2013-12-19

申请号：US13787785

申请日：2013-03-06

Applicant: BOWLING GREEN STATE UNIVERSITY

Inventor： Robert K. Vincent

IPC: C12Q1/10

CPC classification number: C12Q1/10 ,  G01N21/31 ,  G01N33/18 ,  G01N2201/1293 ,  G06F19/10

Abstract: The present invention relates to a method of detecting coliform bacteria in water from reflected light, and also includes devices for the measurement, calculation and transmission of data relating to that method.

Abstract translation: 本发明涉及从反射光中检测水中大肠菌群的方法，还包括用于测量，计算和传输与该方法有关的数据的装置。

公开(公告)号：US08489340B2

公开(公告)日：2013-07-16

申请号：US12740941

申请日：2008-10-31

Applicant: Bonnie Hames ,  Tanya Kruse ,  Steven R. Thomas ,  Amr Saad Ragab

Inventor： Bonnie Hames ,  Tanya Kruse ,  Steven R. Thomas ,  Amr Saad Ragab

IPC: G01N31/00

CPC classification number: G06F19/12 ,  G01N21/3563 ,  G01N21/359 ,  G01N2021/8466 ,  G01N2201/1293

Abstract: The present invention is directed to a method of using a near-infrared (NIR) model to predict the amount of accessible carbohydrate material in a feedstock sample. The NIR model is generated by subjecting a set of biomass calibration feedstock samples to near infrared spectroscopy which produces NIR spectroscopic data, measuring the chemical compositions of each said calibration feedstock sample by wet chemical techniques, and measuring the total amount of monosaccharides and disaccharides solubilized by each said calibration feedstock sample after processing under a defined pretreatment condition or defined enzyme load condition. The method is then applied to NIR spectral data obtained from a test feedstock sample to predict the amount of accessible carbohydrate material in the test feedstock sample.

Abstract translation: 本发明涉及使用近红外（NIR）模型来预测原料样品中可接近的碳水化合物材料的量的方法。 NIR模型通过使一组生物质校准原料样品进行近红外光谱，产生近红外光谱数据，通过湿化学技术测量每个所述校准原料样品的化学成分，并测量通过湿化学技术溶解的单糖和二糖总量 每个所述校准原料样品在规定的预处理条件或确定的酶负载条件下处理后。 然后将该方法应用于从测试原料样品获得的NIR光谱数据，以预测测试原料样品中可接近的碳水化合物材料的量。

公开(公告)号：US08360321B2

公开(公告)日：2013-01-29

申请号：US12594430

申请日：2008-04-02

Applicant: Jeongjin Lee ,  Warren Che Wor Chan ,  Qing Xiang ,  Jesse Klostranec

Inventor： Jeongjin Lee ,  Warren Che Wor Chan ,  Qing Xiang ,  Jesse Klostranec

IPC: G06K7/10

CPC classification number: C40B20/04 ,  G01J3/4406 ,  G01N2021/6417 ,  G01N2021/6441 ,  G01N2201/1293

Abstract: A method deconvolves a multiplexed fluorescence spectral signal into its component single-color fluorescence spectra emitted by contributing fluorophore types. A spectral database contains a parameter set for each of the component spectra. Optical codes are received as the multiplexed signals. A sliding window technique estimates a number and location of local peaks for the component spectra. Allowable variation ranges are assigned for the corresponding parameter sets. Each multiplexed signal is deconvolved into a sum of parametric values to generate a list of its component spectra. Encoded and received optical codes, in the form of multiplexed signals, are decoded and identified by their component spectra and contributing fluorophore types. A system for deconvolving the multiplexed signals includes a spectral database containing the parameter sets, a detection element receiving the optical codes, and a signal processor encoded to analyze and deconvolve the multiplexed signals.

Abstract translation: 一种方法将多路复用的荧光光谱信号去卷积成由贡献荧光团类型发射的组分单色荧光光谱。 光谱数据库包含每个分量光谱的参数集。 作为复用信号接收光码。 滑动窗口技术估计分量光谱的局部峰值的数量和位置。 为相应的参数集分配允许的变化范围。 每个复用的信号被去卷积成参数值的和以产生其分量谱的列表。 以多路复用信号的形式编码和接收的光学代码通过其分量光谱和贡献的荧光团类型进行解码和识别。 用于对多路复用信号进行解卷积的系统包括包含参数集的频谱数据库，接收光学代码的检测元件以及被编码为对多路复用信号进行解卷积的信号处理器。

公开(公告)号：US20120307056A1

公开(公告)日：2012-12-06

申请号：US13492753

申请日：2012-06-08

Applicant: Karel J. Zuzak ,  Duane Scott Dewald ,  William Boyd Werner ,  Brian Crowell

Inventor： Karel J. Zuzak ,  Duane Scott Dewald ,  William Boyd Werner ,  Brian Crowell

IPC: G01N21/55 ,  G01N21/64 ,  H04N7/18

CPC classification number: G01N21/6456 ,  G01N21/21 ,  G01N21/31 ,  G01N2021/216 ,  G01N2021/3144 ,  G01N2021/6423 ,  G01N2201/1293 ,  G02B21/06

Abstract: A system and method for visualizing a biological sample. One or more spectra are selected for illuminating the biological sample to indicate one or more chemicals in the biological sample. The biological sample is illuminated with the one or more spectra. Reflected light is analyzed to determine characteristics of the biological sample.

Abstract translation: 一种可视化生物样品的系统和方法。 选择一个或多个光谱以照射生物样品以指示生物样品中的一种或多种化学物质。 用一个或多个光谱照射生物样品。 分析反射光以确定生物样品的特征。