公开(公告)号：US20090002702A1

公开(公告)日：2009-01-01

申请号：US12206467

申请日：2008-09-08

Applicant: John Maier ,  Shona Stewart ,  Jeffrey Cohen

Inventor： John Maier ,  Shona Stewart ,  Jeffrey Cohen

IPC: G01J3/44 ,  G01N21/65

CPC classification number: G01J3/10 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/417 ,  A61B5/7264 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/32 ,  G01J3/44 ,  G01J2003/2826 ,  G01N21/65 ,  G01N21/658 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296 ,  G02B21/365 ,  G06F19/00 ,  G16H50/70

Abstract: A system and method to provide a diagnosis of the renal disease state of a test renal sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known renal sample and an associated known renal disease state. A test renal 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 renal disease state of the test renal sample is provided. The renal disease state includes renal oncocytoma or chromophobe renal carcinoma disease state.

Abstract translation: 一种用于提供测试肾脏样本的肾脏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肾脏样本和相关联的已知肾病状态。 用基本单色光照射测试肾脏样品，以产生散射光子，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，提供了测试肾脏样本的肾脏疾病状态的诊断。 肾脏疾病状态包括肾细胞瘤或发色团肾癌疾病状态。

公开(公告)号：US20080272303A1

公开(公告)日：2008-11-06

申请号：US12174600

申请日：2008-07-16

Applicant: Han-Wen Chu ,  Cheng-Chuan Lu ,  Chun-Hsing Huang ,  Shin-Yi Fu

Inventor： Han-Wen Chu ,  Cheng-Chuan Lu ,  Chun-Hsing Huang ,  Shin-Yi Fu

IPC: G01J5/02

CPC classification number: G01N21/359 ,  G01N21/3577 ,  G01N33/2852 ,  G01N2201/1293

Abstract: The invention provides a method for determining fuel quality and ethanol content. A mobile fuel analysis apparatus including a vehicle is provided. A database includes near-infrared spectra of standard fuel from a plurality of suppliers to establish correlation between quality parameter and the spectra of the oils. A near-infrared spectrometer is equipped on the vehicle and transported to a fuel distribution point. A near-infrared spectrum of a fuel sample is collected from the fuel distribution point. The collected spectrum is compared to the near-infrared spectra in the database, and converted into corresponding quality parameters.

Abstract translation: 本发明提供了一种确定燃料质量和乙醇含量的方法。 提供一种包括车辆的移动燃料分析装置。 数据库包括来自多个供应商的标准燃料的近红外光谱，以建立质量参数和油的光谱之间的相关性。 在车辆上配备有近红外光谱仪并运送到燃料分配点。 从燃料分配点收集燃料样品的近红外光谱。 将收集的光谱与数据库中的近红外光谱进行比较，并将其转换为相应的质量参数。

公开(公告)号：US20080195565A1

公开(公告)日：2008-08-14

申请号：US11914991

申请日：2006-06-15

Applicant: Larry Eshelman

Inventor： Larry Eshelman

IPC: G06N3/12

CPC classification number: G01J3/44 ,  G01N21/274 ,  G01N21/65 ,  G01N2201/129 ,  G01N2201/1293 ,  G06K9/00523

Abstract: Cross over (S560) in a genetic algorithm (128) is adapted for deriving an optimal mask (S540), or set of segments of a line. Each mask of a chromosome is subject to cross over with the respective mask of the other parent. Any overlapping part, whether a filtering (320) or pass-through part (350), is retained in the child (334) to preserve commonality. The part is preferably, potentially extended, according to one parent or the other, as decided pseudo-randomly (430). In a preferred application, spectrums of candidate blood constituents are masked for fitting to ensemble spectrums of test blood samples (S610, S620). The developed masks are applicable to constituent spectrums to create masked spectrums (S710) which are then applicable to an actual blood sample to be analyzed (S720).

Abstract translation: 遗传算法（128）中的交叉（S 560）适于导出最佳掩码（S 540）或一行的段的集合。 染色体的每个掩模与另一个亲本的相应掩模交叉。 任何重叠的部分，无论是过滤（320）还是直通部分（350）都保留在子（334）中以保持共同性。 该部分优选地，根据一个父或另一个，如伪随机地确定（430）潜在地扩展。 在优选的应用中，候选血液成分的光谱被掩蔽以适合测试血液样品的综合谱（S 610，S 620）。 显影的掩模适用于构成光谱以产生掩蔽光谱（S 710），其然后可应用于待分析的实际血液样品（S 720）。

公开(公告)号：US20080177481A1

公开(公告)日：2008-07-24

申请号：US11626321

申请日：2007-01-23

Applicant: Michael A. Popp ,  Guenther Bonn ,  Christian W. Huck

Inventor： Michael A. Popp ,  Guenther Bonn ,  Christian W. Huck

IPC: G01N21/00 ,  G01N15/02

CPC classification number: G01N21/359 ,  G01N21/3563 ,  G01N2201/1293

Abstract: A method is provided for characterizing a scientific material, such as a silicate material, a polymer material and/or nanomaterial. The method can include the steps of irradiating a measuring light of a predetermined wavelength range into material specimens, recording the measuring light reflected and/or reemitted by the material specimens, determining a ratio depending on the wave lengths of irradiated to detected measuring light (spectrum), and numerical-mathematical processing of spectral data of single material specimens for determining the characteristic features of the material specimens.

Abstract translation: 提供了用于表征科学材料的方法，例如硅酸盐材料，聚合物材料和/或纳米材料。 该方法可以包括以下步骤：将预定波长范围的测量光照射到材料样品中，记录由材料样品反射和/或重新发射的测量光，确定根据照射到检测到的测量光的波长 ），以及用于确定材料样品的特征的单一材料样品的光谱数据的数学数学处理。

公开(公告)号：US20080172186A1

公开(公告)日：2008-07-17

申请号：US12073964

申请日：2008-03-12

Applicant: Masahito Ito ,  Kisaburo Deguchi

Inventor： Masahito Ito ,  Kisaburo Deguchi

IPC: G01N31/00 ,  G06F19/00

CPC classification number: G01N30/8624 ,  G01N30/8631 ,  G01N30/8679 ,  G01N2201/1293

Abstract: A method for analyzing a multi-channel chromatogram is realized for accurately resolving overlapping peaks on a multi-channel chromatogram to permit analysis of the composition of a sample. First, components of overlapping peaks are specified. A data matrix Dij is determined, and compressed in the wavelength direction to obtain a data matrix vector Di. Next, the two-dimensional data is deconvoluted, final standard deviation s0 is registered, and the deconvoluted two-dimensional data is reconvoluted to a retention intensity matrix. A quantitative spectral intensity matrix is computed, components are identified, and the identified components are quantified. Subsequently, an eigenvalue problem is solved, and the number n of components is estimated. The deconvolution and computation of the eigenvalue problem are iteratively executed until the peaks are isolated. Then, elution profiles are calculated, the components are identified, and the identified components are quantified.

Abstract translation: 实现了分析多通道色谱图的方法，用于准确地分辨多通道色谱图上的重叠峰，以便分析样品的组成。 首先，指定重叠峰的分量。 确定数据矩阵Dij，并在波长方向上压缩以获得数据矩阵向量Di。 接下来，对二维数据进行解卷积，记录最终标准偏差s 0，并将去卷积的二维数据重新卷积到保留强度矩阵。 计算定量光谱强度矩阵，识别组件，并对所识别的组分进行量化。 随后，解决了特征值问题，并且估计了分量的数量n。 迭代执行反褶积和特征值问题的计算，直到峰被隔离。 然后，计算洗脱曲线，识别组分，并对所鉴定的组分进行定量。

公开(公告)号：US20080103390A1

公开(公告)日：2008-05-01

申请号：US11877414

申请日：2007-10-23

Applicant: Pamela Contag ,  Bradley Rice

Inventor： Pamela Contag ,  Bradley Rice

IPC: A61B5/05 ,  A61B18/18 ,  G01N21/64

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：US20070152155A1

公开(公告)日：2007-07-05

申请号：US11641575

申请日：2006-12-19

Applicant: Han-Wen Chu ,  Cheng-Chuan Lu

Inventor： Han-Wen Chu ,  Cheng-Chuan Lu

IPC: G01J5/02

CPC classification number: G01N21/359 ,  G01N21/3577 ,  G01N33/2829 ,  G01N2201/1293

Abstract: The invention provides a method for determining fuel quality. A mobile fuel analysis apparatus comprising a vehicle is provided. A database comprises near-infrared spectra of standard fuel from a plurality of suppliers to establish correlation between quality parameter and the spectra of the oils. A near-infrared spectrometer is equipped on the vehicle and transported to a fuel distribution point. A near-infrared spectrum of a fuel sample is collected from the fuel distribution point. The collected spectrum is compared to the near-infrared spectra in the database, and converted into corresponding quality parameters.

Abstract translation: 本发明提供了一种用于确定燃料质量的方法。 提供一种包括车辆的移动燃料分析装置。 数据库包括来自多个供应商的标准燃料的近红外光谱，以建立质量参数和油的光谱之间的相关性。 在车辆上配备有近红外光谱仪并运送到燃料分配点。 从燃料分配点收集燃料样品的近红外光谱。 将收集的光谱与数据库中的近红外光谱进行比较，并将其转换为相应的质量参数。

公开(公告)号：US20070061091A1

公开(公告)日：2007-03-15

申请号：US11407392

申请日：2006-04-18

Applicant: Robert Schweitzer ,  Willem Windig ,  Patrick Treado

Inventor： Robert Schweitzer ,  Willem Windig ,  Patrick Treado

IPC: G01R23/16

CPC classification number: G01J3/28 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/02 ,  G01N2021/3129 ,  G01N2201/1293 ,  G06F19/703

Abstract: A set of spectral data is collected from a mixture and corrected to remove instrumental artifacts. The collected mixture spectra define an n-dimensional data space, where n is the number of data points in the spectra. Principal component analysis (PCA) techniques are applied to the n-dimensional data space to generate and select a subset of m eigenvectors that effectively describe all variance in the original data space. The members of a spectral library of known, pure components are examined based on this reduced dimensionality data space using target factor testing techniques. Each library spectrum is represented as a vector in the m-dimensional reduced data space, and target factor testing results in an angle between the library vector and the data space for each spectral library member. Those spectral library members that have the smallest angles with the data space are considered to be potential members, or candidates, of the mixture and are submitted for further testing. The spectral library members are ranked and every combination of the top y members is considered as a potential solution to the composition of the mixture. A multivariate least-squares solution is then calculated using the mixture spectra for each of the candidate combinations. Finally, a ranking algorithm is applied to each combination and is used to select the combination that is most likely the set of pure components in the mixture.

Abstract translation: 从混合物中收集一组光谱数据，并进行校正以去除仪器伪像。 收集的混合谱定义了n维数据空间，其中n是光谱中数据点的数量。 主成分分析（PCA）技术应用于n维数据空间，以生成和选择有效描述原始数据空间中所有方差的m个特征向量的子集。 基于使用目标因子测试技术的这种减小的维度数据空间来检查已知的纯组件的光谱库的成员。 每个库谱表示为m维缩减数据空间中的向量，目标因子测试导致库向量与每个谱库成员的数据空间之间的角度。 与数据空间具有最小角度的那些光谱库成员被认为是混合物的潜在成员或候选者，并被提交进一步测试。 光谱库成员被排名，并且顶部成员的每个组合被认为是混合物组成的潜在解决方案。 然后使用每个候选组合的混合谱计算多变量最小二乘解。 最后，将排序算法应用于每个组合，并用于选择混合中最可能的纯组分集合的组合。

公开(公告)号：US07072770B1

公开(公告)日：2006-07-04

申请号：US10812233

申请日：2004-03-29

Applicant: Robert Schweitzer ,  Willem Windig ,  Patrick J. Treado

Inventor： Robert Schweitzer ,  Willem Windig ,  Patrick J. Treado

IPC: G01N31/00

CPC classification number: G01J3/28 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/02 ,  G01N2021/3129 ,  G01N2201/1293 ,  G06F19/703

Abstract: The present invention is directed generally toward the field of spectral analysis and, more particularly, toward an improved method of identifying unknown components of a mixture from a set of spectra collected from the mixture using a spectral library including potential candidates. For example, the present method is directed to identifying components of a mixture by the steps which comprise obtaining a set of spectral data for the mixture that defines a mixture data space; ranking a plurality of library spectra of known elements according to their angle of projection into the mixture data space; calculating a corrected correlation coefficient for each combination of the top y ranked library spectra; and selecting the combination having the highest corrected correlation coefficient, wherein the known elements of the selected combination are identified as the components of the mixture.

Abstract translation: 本发明一般涉及光谱分析领域，更具体地说，涉及使用包括潜在候选物的光谱库从混合物中收集的一组光谱识别混合物的未知组分的改进方法。 例如，本方法旨在通过包括获得用于限定混合数据空间的混合物的一组光谱数据的步骤来识别混合物的组分; 根据其投影到混合数据空间的角度对已知元素的多个库光谱进行排序; 计算顶级排名图书馆光谱的每个组合的校正相关系数; 以及选择具有最高校正相关系数的组合，其中所选组合的已知元素被识别为混合物的组分。

公开(公告)号：US20060072110A1

公开(公告)日：2006-04-06

申请号：US11185138

申请日：2005-07-20

Applicant: Robert Lodder ,  John Carberry

Inventor： Robert Lodder ,  John Carberry

IPC: G01N21/85 ,  G01N21/25

CPC classification number: G01N21/255 ,  G01N21/31 ,  G01N21/85 ,  G01N2021/3137 ,  G01N2021/3159 ,  G01N2021/3166 ,  G01N2021/317 ,  G01N2201/12746 ,  G01N2201/1293

Abstract: An optical monitoring system for determining the constituents of a sample or specimen. An absorption spectrum is obtained from a sample and is passed through one or more filters having a specified absorption spectrum defined by a single atom or a compound. If the filter's absorption spectrum is included in the sample's absorption spectrum, then the sample contains that atom or compound. The apparatus includes a switching assembly that sequentially places one or more filters into the light path to determine if the subject atom or compound is contained in the sample.

Abstract translation: 用于确定样品或样品的成分的光学监测系统。 从样品中获得吸收光谱，并且通过一个或多个具有由单个原子或化合物限定的特定吸收光谱的滤光片。 如果滤波器的吸收光谱包含在样品的吸收光谱中，则样品中包含该原子或化合物。 该装置包括一个切换组件，其顺序地将一个或多个过滤器放置在光路中以确定样品中是否包含主体原子或化合物。