公开(公告)号：US20130204531A1

公开(公告)日：2013-08-08

申请号：US13760349

申请日：2013-02-06

Applicant: Materialytics, LLC

Inventor： Catherine E. McManus ,  James W. Dowe, III ,  Tristan M. Likes ,  James W. Dowe, IV

IPC: G01N21/63 ,  G06F17/00

CPC classification number: G01N21/62 ,  G01N21/63 ,  G01N21/718 ,  G01N21/87 ,  G01N2201/129 ,  G06F17/00 ,  G06F19/703

Abstract: This disclosure relates to a method for analyzing a sample of material. The method includes (a) converting a portion of the sample into a plasma multiple times; (b) recording a spectrum of electromagnetic radiation emitted in response to each of the sample conversions to define a sequence of spectra for the sample, in which each member of the sequence corresponds to the spectrum recorded in response to a different one of the sample conversions; (c) using an electronic processor to compare the sequence of spectra for the sample to a sequence of spectra for each of at least one reference sample in a reference library; and (d) using the electronic processor to determine information about the sample based on the comparison to the reference samples in the library.

Abstract translation: 本公开涉及一种用于分析材料样品的方法。 该方法包括（a）将样品的一部分转换成等离子体多次; （b）响应于每个样品转换记录发射的电磁辐射谱，以定义样品的光谱序列，其中序列的每个成员对应于响应不同的样品转化而记录的光谱 ; （c）使用电子处理器将样品的光谱序列与参考文库中的至少一个参考样品中的每一个的光谱序列进行比较; 以及（d）使用电子处理器基于与图书馆中的参考样本的比较来确定关于样本的信息。

公开(公告)号：US20130153770A1

公开(公告)日：2013-06-20

申请号：US13662011

申请日：2012-10-26

Applicant: The Ohio State University

Inventor： Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

IPC: A61B5/00

CPC classification number: A61B5/0075 ,  G01N21/3563 ,  G01N21/552 ,  G01N2021/3595 ,  G01N2201/129

Abstract: Reliable and rapid diagnostic methods for many functional syndromes (FS) such as Bladder Pain Syndrome/Interstitial Cystitis (IC) are not available. Exemplary embodiments include rapid and accurate methods for diagnosing FS in humans and other mammals using infrared microspectroscopy (IRMS). Exemplary methods utilize Soft Independent Modeling by Class Analogy (SIMCA) to create classification models. Exemplary methods utilize classification models to categorize a subject's condition (e.g., healthy/sick and or flare/remission). Using these classification models, various embodiments enable diagnosis based on spectra data from a blood sample or other biomedical specimen. Exemplary embodiments may be useful for rapid diagnosis of IC and various other conditions in humans, cats, and/or other mammals.

Abstract translation: 许多功能综合征（FS）如膀胱疼痛综合征/间质性膀胱炎（IC）的可靠和快速的诊断方法不可用。 示例性实施例包括使用红外显微光谱（IRMS）在人类和其他哺乳动物中诊断FS的快速且准确的方法。 典型的方法利用类别模拟软件独立建模（SIMCA）来创建分类模型。 示例性方法利用分类模型对受试者的状况进行分类（例如，健康/病态和/或扩张/缓解）。 使用这些分类模型，各种实施例使得能够基于来自血液样本或其他生物医学样本的光谱数据进行诊断。 示例性实施方案可用于IC的快速诊断和人类，猫和/或其他哺乳动物中的各种其它条件。

公开(公告)号：US08452716B2

公开(公告)日：2013-05-28

申请号：US12595023

申请日：2008-05-16

Applicant: Tom Howley ,  Alan George Ryder ,  Michael Gerard Madden ,  Kenneth Hennessy

Inventor： Tom Howley ,  Alan George Ryder ,  Michael Gerard Madden ,  Kenneth Hennessy

IPC: G06F15/18

CPC classification number: G01N21/65 ,  G01J3/28 ,  G01N21/3504 ,  G01N21/3563 ,  G01N21/3577 ,  G01N21/359 ,  G01N2201/129 ,  G06F19/703 ,  G06K9/00536 ,  G06K9/6269

Abstract: A kernel-based method determines the similarity of a first spectrum and a second spectrum. Each spectrum represents a result of spectral analysis of a material or chemical and comprises a set of spectral attributes distributed across a spectral range. The method calculates a kernel function which makes use of the shape of the spectral response surrounding a spectral point. This is achieved by comparing the value of an spectral attribute in a spectrum and each of a set of neighboring spectral attributes within a window around the spectral attribute. Weighting values can be applied to calculations when deriving the kernel function. The weighting values can assign different degrees of importance to different regions of the spectrum. The method can be used to: classify unknown spectra; predict the concentration of an analyte within a mixture; database searching for the closest match using a kernel-derived distance metric; visualization of high-dimensional spectral data in two or three dimensions.

Abstract translation: 基于内核的方法确定第一个频谱和第二个频谱的相似度。 每个光谱表示材料或化学品的光谱分析的结果，并且包括分布在光谱范围内的一组光谱属性。 该方法计算利用围绕光谱点的光谱响应的形状的核函数。 这是通过比较频谱属性在光谱属性附近的窗口内的一组相邻光谱属性中的每一个的频谱属性的值来实现的。 导出内核函数时，加权值可以应用于计算。 权重值可以为不同的频谱区域赋予不同程度的重要性。 该方法可用于：对未知光谱进行分类; 预测混合物内分析物的浓度; 数据库使用内核派生的距离度量搜索最接近的匹配; 可视化二维或三维高维谱数据。

公开(公告)号：US08319183B2

公开(公告)日：2012-11-27

申请号：US12582981

申请日：2009-10-21

Applicant: Natarajan Gunasekaran ,  Vitor Marino Schneider ,  Charlene Marie Smith ,  Carlo Anthony Kosik Williams

Inventor： Natarajan Gunasekaran ,  Vitor Marino Schneider ,  Charlene Marie Smith ,  Carlo Anthony Kosik Williams

IPC: G01J5/02

CPC classification number: G01N21/94 ,  G01N21/3504 ,  G01N21/3577 ,  G01N21/3581 ,  G01N2201/129

Abstract: Methods of characterizing and measuring particulate accumulation in a family of particulate filters (10) are disclosed. The disclosure can be applied to diesel, gasoline and natural gas fueled engines, fluid streams bearing dust, and chemical and biological substances such as may be found in laboratory fluids, for example, air. In one embodiment, the disclosure is directed to measuring diesel particulate accumulation in a family of diesel particulate filters. The methods include measuring calibration complex terahertz transmission spectra (PC(f)) of at least a portion (17) of at least one particulate or diesel particulate filter in the family for different known particulate or diesel particulate amounts (ADP). The method also involves performing a partial least squares (PLS) analysis on the calibration complex terahertz transmission spectra to establish a calibration relationship between the complex terahertz transmission spectra and the particulate or diesel particulate amounts. The complex transmission spectrum of a subject particulate filter or diesel particulate filter having an unknown amount of particulate or diesel particulate accumulation is then determined and compared to the linear calibration relationship to establish a measured amount of particulates or diesel particulates. The methods include using a terahertz (THz) system (100) to obtain the complex terahertz transmission spectra for the calibration and subject particulate or diesel particulate filters.

Abstract translation: 公开了在微粒过滤器（10）系列中表征和测量颗粒积聚的方法。 本公开可以应用于柴油，汽油和天然气燃料发动机，带有灰尘的流体流，以及诸如可以在实验室流体例如空气中发现的化学和生物物质。 在一个实施方案中，本公开涉及测量柴油颗粒过滤器系列中的柴油颗粒物积聚。 所述方法包括测量家族中至少一种颗粒或柴油颗粒​​过滤器的至少一部分（17）的校准复数太赫兹透射光谱（PC（f）），用于不同的已知颗粒或柴油颗粒​​量（ADP）。 该方法还涉及对校准复数太赫兹透射光谱进行偏最小二乘法（PLS）分析，以建立复数太赫兹透射光谱与颗粒或柴油颗粒​​量之间的校准关系。 然后确定具有未知量的颗粒或柴油颗粒​​物积聚的目标颗粒过滤器或柴油颗粒​​过滤器的复杂透射光谱，并将其与线性校准关系进行比较，以建立测量量的颗粒物或柴油颗粒​​物。 这些方法包括使用太赫兹（THz）系统（100）来获得用于校准和主体颗粒或柴油颗粒​​过滤器的复数太赫兹透射光谱。

公开(公告)号：US08309931B2

公开(公告)日：2012-11-13

申请号：US12933960

申请日：2009-03-30

Applicant: Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

Inventor： Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

IPC: G01J5/02

CPC classification number: A61B5/0075 ,  G01N21/3563 ,  G01N21/552 ,  G01N2021/3595 ,  G01N2201/129

Abstract: Reliable and rapid diagnostic methods for many functional syndromes (FS) such as Bladder Pain Syndrome/Interstitial Cystitis (IC) are not available. Exemplary embodiments include rapid and accurate methods for diagnosing FS in humans and domestic cats using infrared microspectroscopy (IRMS). Exemplary methods utilize Soft Independent Modeling by Class Analogy (SIMCA) to create classification models. Exemplary methods utilize classification models to classify a test subject's condition (e.g., healthy/sick). Using these classification models, various embodiments enable diagnosis based on spectra data from a fluid biomedical specimen. Exemplary embodiments may be useful to rapidly diagnose IC and various other conditions in humans, cats, and/or other mammals.

Abstract translation: 许多功能综合征（FS）如膀胱疼痛综合征/间质性膀胱炎（IC）的可靠和快速的诊断方法不可用。 示例性实施例包括使用红外显微光谱（IRMS）在人类和家猫诊断FS的快速且准确的方法。 典型的方法利用类别模拟软件独立建模（SIMCA）来创建分类模型。 示例性方法利用分类模型来对测试对象的状况进行分类（例如，健康/生病）。 使用这些分类模型，各种实施例使得能够基于来自流体生物医学样本的光谱数据进行诊断。 示例性实施方案可用于快速诊断人类，猫和/或其他哺乳动物中的IC和各种其它条件。

公开(公告)号：US20120280146A1

公开(公告)日：2012-11-08

申请号：US13516358

申请日：2010-12-08

Applicant: Jad Rizkallah ,  Inès Birlouez-Aragon

Inventor： Jad Rizkallah ,  Inès Birlouez-Aragon

IPC: G01N21/64

CPC classification number: G01N21/64 ,  G01N33/02 ,  G01N2021/6419 ,  G01N2201/129

Abstract: The invention relates to a method for the spectroscopic analysis of at least one sample, using a method for analysing spectroscopic data based on a multi-channel statistical model, said method comprising: the illumination of said or each sample to be analysed by a plurality of luminous excitation rays with respective wavelengths; the acquisition and the pre-treatment of frontal fluorescence spectra, each spectrum corresponding to a respective luminous excitation ray; for each sample, the calculation of a score vector by applying said multi-channel statistical model to the pre-treated spectra; and the determination of at least one parameter selected from a quality indicator of said or each sample and a parameter characterising a method that has been applied to said or each sample, from said score vector; the method being characterised in that the average spectral distance between the luminous excitation rays is at least 50 nm, over a spectral range of at least 100 nm. The invention also relates to an appliance for implementing such a method.

Abstract translation: 本发明涉及一种使用基于多通道统计模型分析光谱数据的方法对至少一个样品进行光谱分析的方法，所述方法包括：通过多个 具有各种波长的发光激发光; 前额叶荧光光谱的获取和预处理，每个光谱对应于相应的发光激发光线; 对于每个样本，通过将所述多通道统计模型应用于预处理的光谱来计算得分矢量; 以及从所述得分向量确定从所述或每个样本的质量指示符中选择的至少一个参数和表征已经应用于所述样本或每个样本的方法的参数; 该方法的特征在于，在至少100nm的光谱范围内，发光激发光线之间的平均光谱距离为至少50nm。 本发明还涉及一种用于实现这种方法的设备。

公开(公告)号：US20120200855A1

公开(公告)日：2012-08-09

申请号：US13451621

申请日：2012-04-20

Applicant: David Bonyuet ,  Vidi A. Saptari

Inventor： David Bonyuet ,  Vidi A. Saptari

IPC: G01N21/27

CPC classification number: G01J3/42 ,  G01J3/02 ,  G01J3/0235 ,  G01J3/06 ,  G01J3/32 ,  G01J2003/1247 ,  G01N21/274 ,  G01N21/314 ,  G01N21/33 ,  G01N21/3504 ,  G01N2021/3174 ,  G01N2201/129

Abstract: The invention relates to methods and systems for measuring and/or monitoring the chemical composition of a sample (e.g., a process stream), and/or detecting specific substances or compounds in a sample, using light spectroscopy such as absorption, emission and fluorescence spectroscopy. In certain embodiments, the invention relates to spectrometers with rotating narrow-band interference optical filter(s) to measure light intensity as a function of wavelength. More specifically, in certain embodiments, the invention relates to a spectrometer system with a rotatable filter assembly with a position detector rigidly attached thereto, and, in certain embodiments, the further use of various oversampling methods and techniques described herein, made particularly useful in conjunction with the rotatable filter assembly. In preferred embodiments, the rotatable filter is tilted with respect to the rotation axis, thereby providing surprisingly improved measurement stability and significantly improved control of the wavelength coverage of the filter spectrometer.

Abstract translation: 本发明涉及用于测量和/或监测样品（例如工艺流）的化学成分和/或检测样品中的特定物质或化合物的方法和系统，使用光谱如吸收，发射和荧光光谱法 。 在某些实施例中，本发明涉及具有旋转窄带干涉光学滤波器的光谱仪，以测量作为波长的函数的光强度。 更具体地说，在某些实施例中，本发明涉及一种具有可转动的过滤器组件的光谱仪系统，其中位置检测器与其刚性连接，并且在某些实施例中，进一步使用本文描述的各种过采样方法和技术，特别适用于组合 与可旋转的过滤器组件。 在优选实施例中，可旋转过滤器相对于旋转轴线倾斜，从而提供惊人的改进的测量稳定性并显着改进对过滤光谱仪的波长覆盖的控制。

公开(公告)号：US20120092665A1

公开(公告)日：2012-04-19

申请号：US12903548

申请日：2010-10-13

Applicant: PAUL GRIFFIN VAHEY ,  Gregory James Werner ,  Paul H. Shelley

Inventor： PAUL GRIFFIN VAHEY ,  Gregory James Werner ,  Paul H. Shelley

IPC: G01J3/28 ,  G01N21/00

CPC classification number: G01N21/3563 ,  G01J3/0289 ,  G01J3/108 ,  G01N21/274 ,  G01N21/39 ,  G01N21/474 ,  G01N21/93 ,  G01N21/94 ,  G01N2021/8427 ,  G01N2021/8472 ,  G01N2201/022 ,  G01N2201/129

Abstract: A surface chemistry measuring apparatus includes a processor, an array of tunable infrared laser spectrometers interfacing with the processor and configured for simultaneous measurement of surface chemistry across a surface to be measured using a range of infrared wavelengths and a display interfacing with the processor and adapted to display IR spectra of infrared wavelengths reflected from the surface to be measured.

Abstract translation: 表面化学测量装置包括处理器，与处理器接口的可调谐红外激光光谱仪的阵列，并被配置为使用一系列红外波长同时测量待测表面上的表面化学性质，以及与处理器接口的显示器， 显示从待测表面反射的红外波长的红外光谱。

公开(公告)号：US08081825B2

公开(公告)日：2011-12-20

申请号：US12918300

申请日：2008-04-02

Applicant: Yun Young Nam ,  Sang Jin Hong ,  We Duck Cho ,  Kyoung Su Park

Inventor： Yun Young Nam ,  Sang Jin Hong ,  We Duck Cho ,  Kyoung Su Park

IPC: G06K9/46

CPC classification number: G01N21/25 ,  G01J3/2823 ,  G01N2201/129 ,  G06K9/0063 ,  G06K9/00986

Abstract: There is provided a method for real-time target detection comprising detecting a preprocessed pixel as a target and/or a background, based on a library, and refining the library by extracting a sample from the target or the background.

Abstract translation: 提供了一种用于实时目标检测的方法，包括基于库检测预处理像素作为目标和/或背景，以及通过从目标或背景提取样本来优化库。

公开(公告)号：US20110292400A1

公开(公告)日：2011-12-01

申请号：US13115332

申请日：2011-05-25

Applicant: Christine Fleming ,  Brett Eugene Bouma ,  Joseph Gardecki ,  Guillermo J. Tearney

Inventor： Christine Fleming ,  Brett Eugene Bouma ,  Joseph Gardecki ,  Guillermo J. Tearney

IPC: G01B9/02

CPC classification number: A61B5/0066 ,  A61B5/02007 ,  A61B5/7264 ,  G01B9/02091 ,  G01N21/4795 ,  G01N2021/1787 ,  G01N2201/129 ,  G01N2201/1293

Abstract: According to an exemplary embodiment of the present disclosure, apparatus and method can be provided for generating information for at least one structure. For example, using at least one first arrangement, it is possible to receive at least one first radiation from the at least one structure and at least one second radiation from a reference, and interfere the first and second radiations to generate at least one third radiation. Further, with at least one second arrangement, it is possible to generate spectroscopic data as a function of the at least one third radiation, and reduce at least one scattering effect in the spectroscopic data to generate the information. In addition or as an alternative, according to a further exemplary embodiment of the present disclosure, it is possible to classify a type of the structure based on the spectroscopic data to generate the information.

Abstract translation: 根据本公开的示例性实施例，可以提供装置和方法来产生用于至少一个结构的信息。 例如，使用至少一个第一布置，可以接收来自至少一个结构的至少一个第一辐射和来自参考的至少一个第二辐射，并且干扰第一和第二辐射以产生至少一个第三辐射 。 此外，利用至少一个第二布置，可以产生作为至少一个第三辐射的函数的光谱数据，并且减少光谱数据中的至少一个散射效应以产生信息。 另外或作为替代，根据本公开的另一示例性实施例，可以基于光谱数据对结构的类型进行分类以生成信息。