Fluorescence intensity compensation method and fluorescence intensity calculation device
    71.
    发明授权
    Fluorescence intensity compensation method and fluorescence intensity calculation device 有权
    荧光强度补偿方法和荧光强度计算装置

    公开(公告)号:US08990024B2

    公开(公告)日:2015-03-24

    申请号:US13178172

    申请日:2011-07-07

    Abstract: A fluorescence intensity compensation method, includes: receiving, with photodetectors having different input wavelength bands, fluorescence emitted from fluorochromes excited by irradiating light on microparticles multiply-labeled by a plurality of fluorochromes with overlapping fluorescence wavelengths; collecting detected values for the photodetectors; and obtaining a measurement spectrum, by approximating, from the linear sum of single-stain spectrums obtained from microparticles individually labeled with the fluorochromes; wherein approximation of the measurement spectrum by the linear sum of the single-stain spectrums is performed using the restricted least-square method.

    Abstract translation: 一种荧光强度补偿方法,包括:利用具有不同输入波长带的光电检测器,通过用多个具有重叠荧光波长的荧光色素多标记的微粒上照射光而激发的荧光发射的荧光; 收集光检测器的检测值; 通过从由荧光色素单独标记的微粒获得的单色光谱的线性和近似得到测量光谱; 其中使用限制最小二乘法来执行单色光谱的线性和的测量光谱的近似。

    Methods for Detecting Parasites, Viruses, Bacteria and Drugs in Human and Animal Blood and Cerebral Spinal Fluid, Using Laser-Induced Breakdown Spectroscopy
    72.
    发明申请
    Methods for Detecting Parasites, Viruses, Bacteria and Drugs in Human and Animal Blood and Cerebral Spinal Fluid, Using Laser-Induced Breakdown Spectroscopy 审中-公开
    使用激光诱导分解光谱法检测人和动物血液和脑脊液中寄生虫,病毒,细菌和药物的方法

    公开(公告)号:US20140368819A1

    公开(公告)日:2014-12-18

    申请号:US14303313

    申请日:2014-06-12

    CPC classification number: A61B5/4845 G01N21/718 G01N2201/1293

    Abstract: The present invention relates to methods of detecting parasites, viruses, bacteria and drugs in human and animal blood and cerebral spinal fluid (CSF), using laser-induced breakdown spectroscopy (LIBS). The method includes developing and using algorithmic detection models for detecting compounds, bacteria, viruses and parasites in blood or CSF. The models are developed from a sample of blood or fluid, knowingly having one or more of the compounds or bacteria, viruses, or parasites. Spectra are generated by a LIBS instrument from the sample, and are grouped into either classification spectra or verification spectra. Algorithmic models are developed from the classification spectra; these models are verified with the verification spectra. A second sample of different blood or CSF may then be assessed using the algorithmic models. Spectra generated from this second sample are applied to the models to determine the presence or absence of compounds or bacteria, viruses and parasites of interest.

    Abstract translation: 本发明涉及使用激光诱导击穿光谱法(LIBS)检测人和动物血液和脑脊髓液(CSF)中的寄生虫,病毒,细菌和药物的方法。 该方法包括开发和使用算法检测模型,用于检测血液或CSF中的化合物,细菌,病毒和寄生虫。 这些模型是从血液或液体样品中开发的,明知具有一种或多种化合物或细菌,病毒或寄生虫。 光谱由来自样品的LIBS仪器产生,并被分组为分类光谱或验证光谱。 从分类光谱开发算法模型; 这些模型使用验证光谱进行验证。 然后可以使用算法模型评估不同血液或CSF的第二个样本。 将该第二样品产生的光谱应用于模型以确定化合物或细菌,病毒和感兴趣的寄生虫的存在或不存在。

    SYSTEMS AND METHODS FOR IDENTIFYING A MIXTURE
    76.
    发明申请
    SYSTEMS AND METHODS FOR IDENTIFYING A MIXTURE 审中-公开
    用于识别混合物的系统和方法

    公开(公告)号:US20130297254A1

    公开(公告)日:2013-11-07

    申请号:US13464278

    申请日:2012-05-04

    Abstract: A spectrometer for identifying a mixture is provided. The spectrometer includes a detector configured to generate a signal based on an interaction of light with a sample of the mixture, and a memory device having a library and a correlation matrix stored therein, wherein the library includes a plurality of spectra, each spectrum associated with a respective compound, and wherein the correlation matrix includes a correlation between each possible pair of spectra in the library. The spectrometer further includes a processor coupled to the memory device and configured to determine a spectrum of the mixture based on the signal generated by the detector, calculate a correlation vector that includes a correlation between the mixture spectrum and each spectrum in the library, and identify the mixture based on the correlation matrix and the correlation vector.

    Abstract translation: 提供了用于识别混合物的光谱仪。 光谱仪包括检测器,其被配置为基于光与混合物的样本的相互作用产生信号,以及具有存储在其中的库和相关矩阵的存储器件,其中所述库包括多个光谱,每个光谱与 相应的化合物,并且其中所述相关矩阵包括所述文库中每个可能的光谱对之间的相关性。 光谱仪还包括耦合到存储器件并且被配置为基于由检测器产生的信号来确定混合谱的处理器的处理器,计算包括混合谱和库中每个频谱之间的相关性的相关矢量,并且识别 基于相关矩阵和相关向量的混合。

    SIGNAL PROCESSING FOR OPTICAL COMPUTING SYSTEM
    80.
    发明申请
    SIGNAL PROCESSING FOR OPTICAL COMPUTING SYSTEM 有权
    光学计算系统信号处理

    公开(公告)号:US20120268730A1

    公开(公告)日:2012-10-25

    申请号:US13540109

    申请日:2012-07-02

    Abstract: The present subject matter relates to an apparatus and related method of high-speed analysis of product samples during production of the product. Light is directed to a portion of a product under analysis and reflected from or transmitted through the product toward optical detectors. Signals from the optical detectors are compared to determine characteristics of the product under analysis. Temperature within the monitoring system may be monitored in order to provide compensation for the signals produced by the optical detectors. The products under analysis may be stationary, moved by an inspection point by conveyor or other means, or may be contained within a container, the container including a window portion through which the product illuminating light may pass.

    Abstract translation: 本发明涉及在产品生产过程中产品样品的高速分析的装置和相关方法。 光被引导到被分析产品的一部分,从产品反射或透射到光学检测器。 将来自光学检测器的信号进行比较,以确定正在分析的产品的特性。 可以监视监视系统内的温度,以便为由光学检测器产生的信号提供补偿。 被分析的产品可以是固定的,由检查点通过输送机或其他方式移动,或者可以容纳在容器内,该容器包括产品照明光通过的窗口部分。

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