A METHOD AND AN APPARATUS FOR OBTAINING SAMPLE SPECIFIC SIGNATURES
    161.
    发明申请
    A METHOD AND AN APPARATUS FOR OBTAINING SAMPLE SPECIFIC SIGNATURES 有权
    一种用于获取样品特异性信号的方法和装置

    公开(公告)号:US20160103069A1

    公开(公告)日:2016-04-14

    申请号:US14374933

    申请日:2013-09-02

    Abstract: The invention provides a method for obtaining sample specific signatures. The method comprises of irradiating the sample at a predefined location with an electromagnetic radiation of specific wavelength; selectively capturing a certain component of the scattered electromagnetic radiation to obtain a plurality of profiles; and filtering the profiles to obtain a sample specific signature. The invention provides an apparatus for obtaining sample specific signatures.

    Abstract translation: 本发明提供了一种获取样本特定签名的方法。 该方法包括在预定位置用特定波长的电磁辐射照射样品; 选择性地捕获散射电磁辐射的某一部分以获得多个轮廓; 并过滤配置文件以获得样本特定签名。 本发明提供一种用于获取样本特定签名的装置。

    SPECTRAL IMAGING SYSTEM FOR REMOTE AND NONINVASIVE DETECTION OF TARGET SUBSTANCES USING SPECTRAL FILTER ARRAYS AND IMAGE CAPTURE ARRAYS
    163.
    发明申请
    SPECTRAL IMAGING SYSTEM FOR REMOTE AND NONINVASIVE DETECTION OF TARGET SUBSTANCES USING SPECTRAL FILTER ARRAYS AND IMAGE CAPTURE ARRAYS 审中-公开
    使用光谱滤波器阵列和图像捕获阵列进行远程和非目标检测目标物质的光谱成像系统

    公开(公告)号:US20160069743A1

    公开(公告)日:2016-03-10

    申请号:US14742074

    申请日:2015-06-17

    Applicant: InnoPix, Inc.

    Abstract: An approach to noninvasively and remotely detect the presence, location, and/or quantity of a target substance in a scene via a spectral imaging system comprising a spectral filter array and image capture array. For a chosen target substance, a spectral filter array is provided that is sensitive to selected wavelengths characterizing the electromagnetic spectrum of the target substance. Elements of the image capture array are optically aligned with elements of the spectral filter array to simultaneously capture spectrally filtered images. These filtered images identify the spectrum of the target substance. Program instructions analyze the acquired images to compute information about the target substance throughout the scene. A color-coded output image may be displayed on a smartphone or computing device to indicate spatial and quantitative information about the detected target substance. The system desirably includes a library of interchangeable spectral filter arrays, each sensitive to one or more target substances.

    Abstract translation: 通过包括光谱滤波器阵列和图像捕获阵列的光谱成像系统非侵入性地远程地检测场景中目标物质的存在,位置和/或数量的方法。 对于所选择的目标物质,提供对表征目标物质的电磁光谱的选定波长敏感的光谱滤波器阵列。 图像捕获阵列的元件与光谱滤波器阵列的元件光学对准,以同时捕获经过频谱滤波的图像。 这些过滤图像识别目标物质的光谱。 程序指令分析所获取的图像以在整个场景中计算关于目标物质的信息。 颜色编码的输出图像可以显示在智能电话或计算设备上以指示关于检测到的目标物质的空间和定量信息。 该系统期望地包括可互换光谱滤光器阵列的库,每个对一种或多种目标物质敏感。

    Method for Characterising a Product by Means of Topological Spectral Analysis
    164.
    发明申请
    Method for Characterising a Product by Means of Topological Spectral Analysis 审中-公开
    通过拓扑光谱分析表征产品的方法

    公开(公告)号:US20160061719A1

    公开(公告)日:2016-03-03

    申请号:US14888262

    申请日:2014-04-25

    CPC classification number: G01N21/359 G01N2201/129

    Abstract: The invention relates to a method for characterising a target product, including the steps of: (a) forming a bank of spectral data comprising samples; (b) having measured characteristics and spectra; (c) performing a spectral analysis of the target product and comparing the spectrum obtained with the spectral data in the data bank; (d) identifying the “near neighbour” points of the target product; and (e) performing a topological calculation of the characteristic of the target product as a function of the corresponding characteristics of the near neighbour points, based on a weighting linked to the inverse of the distance between the target product and the near neighbour points.

    Abstract translation: 本发明涉及一种用于表征目标产品的方法,包括以下步骤:(a)形成包括采样的一组光谱数据; (b)具有测量特性和光谱; (c)对目标产品进行光谱分析,并将获得的光谱与数据库中的光谱数据进行比较; (d)识别目标产品的“近邻”点; 以及(e)基于与所述目标乘积和所述近邻点之间的距离的倒数相关的加权来执行作为所述近邻点的对应特征的函数的所述目标乘积的特征的拓扑计算。

    Terahertz spectroscopy of rough surface targets
    165.
    发明授权
    Terahertz spectroscopy of rough surface targets 有权
    太赫兹光谱的粗糙表面目标

    公开(公告)号:US09261456B2

    公开(公告)日:2016-02-16

    申请号:US13358437

    申请日:2012-01-25

    CPC classification number: G01N21/3586 G01N2201/129

    Abstract: A method and system for analyzing noisy terahertz spectroscopy data transforms the measured time-dependent data into frequency space, for example, using a discrete Fourier transform, and then transforms the frequency spectrum into wavelet frequency space. The twice-transformed data is analyzed to identify spectroscopic features of the signal, for example, to identify a resonance frequency. The method may be used, for example, in a stand-off detector to identify particular chemicals in a target.

    Abstract translation: 用于分析噪声太赫兹光谱数据的方法和系统将所测量的时间相关数据变换为频率空间,例如使用离散傅里叶变换,然后将频谱转换为小波频率空间。 分析两次变换的数据以识别该信号的光谱特征,例如识别共振频率。 该方法可以用于例如在待检测器中以识别靶中的特定化学物质。

    SYSTEMS AND METHODS FOR BOOSTING COAL QUALITY MEASUREMENT STATEMENT OF RELATED CASES
    166.
    发明申请
    SYSTEMS AND METHODS FOR BOOSTING COAL QUALITY MEASUREMENT STATEMENT OF RELATED CASES 审中-公开
    提高煤炭质量测量的系统和方法相关案例声明

    公开(公告)号:US20160018378A1

    公开(公告)日:2016-01-21

    申请号:US14772088

    申请日:2014-02-13

    Abstract: Properties of coal are determined from samples processed by a near-infrared spectroscopy (NIR) device that generates wavelengths dependent spectra. Target values of the properties are associated with the NIR spectra by a kernel based regression model generated from training data based on an anisotropic kernel function that is extended by defining the kernel parameters as a smooth function over the wavelengths associated with a spectrum. Like the anisotropic case each wavelength related dimension has its own kernel parameter. Adjacent dimensions are restricted to have similar kernel parameters. Measured spectra with a limited number of features are reconstructed by applying a regression model based on training data of spectra having an extended number of features. Training data are pruned based on a regression model by removing outliers.

    Abstract translation: 煤的性质由通过产生波长依赖光谱的近红外光谱(NIR)装置处理的样品确定。 属性的目标值通过基于内核的回归模型与基于内核的回归模型相关联,所述回归模型基于通过将核参数定义为与频谱相关联的波长上的平滑函数来扩展的各向异性核函数,从训练数据生成。 像各向异性情况一样,每个波长相关尺寸都有自己的内核参数。 相邻的维度被限制为具有相似的内核参数。 通过应用基于具有扩展数量特征的光谱的训练数据的回归模型来重建具有有限数量特征的测量光谱。 通过消除异常值,通过回归模型修剪培训数据。

    Methods of Determining an Analyte Concentration in a Body Fluid Sample Having Disturbance Variables, as Well as Computer Programs and Devices Therefor
    167.
    发明申请
    Methods of Determining an Analyte Concentration in a Body Fluid Sample Having Disturbance Variables, as Well as Computer Programs and Devices Therefor 审中-公开
    确定具有干扰变量的体液样本中的分析物浓度以及计算机程序和设备的方法

    公开(公告)号:US20160011120A1

    公开(公告)日:2016-01-14

    申请号:US14745023

    申请日:2015-06-19

    Abstract: Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.

    Abstract translation: 提供了用于导出/确定分析物浓度的方法,其包括在时间开发期间记录测量值,指示至少一种测试物质和体液样品的检测反应的进展,并提供至少一个含有 测量值,其中已知检测反应受分析物浓度和至少一个干扰变量Y的影响。方法还包括导出测量曲线的最终值以形成第一变量x1,并且导出至少一个拟合参数 通过考虑测量曲线的指数特性,并且其中拟合参数形成至少一个第二变量x2。 所述方法还包括通过使用适于组合x1和x2的至少一个多变量评估算法来导出/确定分析物浓度。 还提供了包含其的计算机程序和设备。

    Methods and Systems for Detecting a Chemical Species
    168.
    发明申请
    Methods and Systems for Detecting a Chemical Species 审中-公开
    检测化学物种的方法和系统

    公开(公告)号:US20150371386A1

    公开(公告)日:2015-12-24

    申请号:US14727514

    申请日:2015-06-01

    Abstract: Methods and systems for detecting at least one chemical species including obtaining a first image from a first electromagnetic radiation detector and obtaining a second image from a second electromagnetic radiation detector. The first image includes a first plurality of pixels and the second image includes a second plurality of pixels, each pixel having an associated intensity value. A first resultant image is generated. The first resultant image includes a plurality of resultant pixels, each pixel having an associated intensity value. One or more regions of interest are determined. The correlation between the first image, the second image, and the first resultant image is determined for the one or more regions of interest using a correlation coefficient algorithm to calculate a first correlation coefficient and a second correlation coefficient. The presence of the chemical species is determined based, at least in part, on the first correlation coefficient and the second correlation coefficient.

    Abstract translation: 用于检测至少一种化学物质的方法和系统,包括从第一电磁辐射检测器获得第一图像并从第二电磁辐射检测器获得第二图像。 第一图像包括第一多个像素,并且第二图像包括第二多个像素,每个像素具有相关联的强度值。 生成第一个合成图像。 第一合成图像包括多个合成像素,每个像素具有相关联的强度值。 确定感兴趣的一个或多个区域。 使用相关系数算法,针对一个或多个感兴趣区域确定第一图像,第二图像和第一合成图像之间的相关性,以计算第一相关系数和第二相关系数。 至少部分地基于第一相关系数和第二相关系数确定化学物质的存在。

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