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1. 发明申请

US20060209301A1 Method and apparatus for compact spectrometer for fiber array spectral translator 有权
标题翻译：用于光纤阵列光谱转换器的紧凑型光谱仪的方法和装置
公开(公告)号：US20060209301A1
公开(公告)日：2006-09-21
申请号：US11366531
申请日：2006-03-03
申请人： Charles Gardner , John Maier , Matthew Nelson , Robert Schweitzer , Patrick Treado , G. Vanni , Julianne Wolfe , Joseph Demuth , Jason Neiss , Chenhui Wang
发明人： Charles Gardner , John Maier , Matthew Nelson , Robert Schweitzer , Patrick Treado , G. Vanni , Julianne Wolfe , Joseph Demuth , Jason Neiss , Chenhui Wang
IPC分类号： G01J3/44 , G01N21/65
CPC分类号： G01J3/44 , G01J3/02 , G01J3/0205 , G01J3/0218 , G01J3/0224 , G01J3/0237 , G01J3/0256 , G01J3/0264 , G01J3/0272 , G01J3/0283 , G01J3/0291 , G01J3/10 , G01J3/26 , G01J3/32 , G01J3/36 , G01J3/447 , G01N21/65 , G01N2201/0846
摘要： The disclosure relates to a portable system having a fiber array spectral translator (“FAST”) for obtaining a spatially accurate wavelength-resolved image of a sample having a first and a second spatial dimension that can be used for the detection of hazardous agents by irradiating a sample with light, forming an image of all or part of the sample using Raman shifted light from the sample, and analyzing the Raman shifted light for patterns characteristic of one or more hazardous agents.
摘要翻译：本公开涉及一种具有光纤阵列光谱转换器（“FAST”）的便携式系统，用于获得具有第一和第二空间尺寸的样品的空间准确的波长分辨图像，所述第一和第二空间尺寸可用于通过照射来检测危险物质具有光的样品，使用来自样品的拉曼移动光形成全部或部分样品的图像，并且分析拉曼偏移光以获得一种或多种危险剂的特征。

2. 发明申请

US20060001867A1 Method and apparatus for spectral modulation compensation 有权
标题翻译：光谱调制补偿的方法和装置
公开(公告)号：US20060001867A1
公开(公告)日：2006-01-05
申请号：US10879632
申请日：2004-06-30
申请人： John Maier , Jason Neiss , Shona Stewart , Matthew Nelson , Joseph Demuth , Patrick Treado
发明人： John Maier , Jason Neiss , Shona Stewart , Matthew Nelson , Joseph Demuth , Patrick Treado
IPC分类号： G01J3/44 , G01N21/65
CPC分类号： G01N21/65 , G01J3/0297 , G01J3/44 , G01N2021/656
摘要： The embodiments disclosed herein generally relate to identifying and removing background noise in spectroscopic imaging of a sample. Because white-light has essentially constant intensity at every wavelength, background noise caused by white light can be identified and removed from spectroscopic measurements including Raman spectroscopy. Thus, once the Raman spectrum for a sample is obtained, it may be corrected to remove the white-light dispersive spectrum in accordance with the embodiments disclosed herein.
摘要翻译：本文公开的实施例通常涉及在样本的光谱成像中识别和去除背景噪声。因为白光在每个波长处具有基本恒定的强度，所以可以从包括拉曼光谱的光谱测量中识别和去除由白光引起的背景噪声。因此，一旦获得样品的拉曼光谱，就可以根据本文公开的实施方案来校正其去除白光色散谱。

3. 发明申请

US20120134582A1 System and Method for Multimodal Detection of Unknown Substances Including Explosives 审中-公开
标题翻译：包括爆炸物在内的未知物质的多模态检测系统和方法
公开(公告)号：US20120134582A1
公开(公告)日：2012-05-31
申请号：US13193860
申请日：2011-07-29
申请人： Patrick Treado , Robert Schewitzer , Jason Neiss
发明人： Patrick Treado , Robert Schewitzer , Jason Neiss
IPC分类号： G06K9/00
CPC分类号： G01J3/28
摘要： A system and method for identifying an unknown substance in a sample comprising multiple entities. A method may comprise generating a RGB image representative of a sample and assessing said RGB image to identify at least one region of interest. This region of interest may he assessed to generate a spatially accurate wavelength resolved image, which may be a hyperspectral image. This spatially accurate wavelength resolved image may comprise a fluorescence, Raman, near infrared, short wave infrared, mid wave infrared and/or long wave infrared image. This spatially accurate wavelength resolved image may be assessed to identify said unknown substance. A system may comprise: a reference database, a first detector for generating an RGB image, a second detector for generating a spatially accurate wavelength resolved image, and a means for assessing said RGB image and said spatially accurate wavelength resolved image.
摘要翻译：一种用于识别包含多个实体的样品中的未知物质的系统和方法。方法可以包括生成代表样本的RGB图像并评估所述RGB图像以识别至少一个感兴趣的区域。他可以评估该感兴趣的区域以产生空间准确的波长分辨图像，其可以是高光谱图像。该空间准确的波长分辨图像可以包括荧光，拉曼，近红外，短波红外，中波红外和/或长波红外图像。可以评估该空间上准确的波长分辨图像以识别所述未知物质。系统可以包括：参考数据库，用于产生RGB图像的第一检测器，用于产生空间上精确的波长分辨图像的第二检测器，以及用于评估所述RGB图像和所述空间上精确的波长分辨图像的装置。

4. 发明申请

US20120072122A1 Forensic Integrated Search Technology 审中-公开
标题翻译：法医综合搜索技术
公开(公告)号：US20120072122A1
公开(公告)日：2012-03-22
申请号：US13246906
申请日：2011-09-28
申请人： Robert Schweitzer , Patrick J. Treado , Jason Neiss
发明人： Robert Schweitzer , Patrick J. Treado , Jason Neiss
IPC分类号： G06F19/00
CPC分类号： G06F16/2462 , G16C20/20 , G16C20/90
摘要： A system and method to search spectral databases and to identify unknown materials. A library comprising sublibraries is provided, each sublibrary containing a plurality of reference data sets corresponding to known materials. Test data sets are provided, characteristic of an unknown material. Each test data set is generated by one or more spectroscopic data generating instruments. Each sublibrary is searched and a corresponding set of scores is produced, indicating a likelihood of a match. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used to determine whether the unknown material is represented through a known material in the library. A highest final probability value is selected compared to a minimum confidence value. If the probability value is greater than or equal to the minimum confidence value, the known material is reported.
摘要翻译：搜索光谱数据库并识别未知材料的系统和方法。提供了包括子库的库，每个子库包含对应于已知材料的多个参考数据集。提供测试数据集，是未知材料的特征。每个测试数据集由一个或多个光谱数据产生装置产生。搜索每个子图书馆，并产生相应的一组分数，指示匹配的可能性。对于每个搜索的子图库计算相对概率值。所有相对概率值被融合，产生一组最终概率值，用于确定未知材料是否通过库中的已知材料表示。与最小置信度值相比，选择最高最终概率值。如果概率值大于或等于最小置信度值，则报告已知材料。

5. 发明授权

US07532320B2 Multimodal method for identifying hazardous agents 有权
标题翻译：用于识别危险物质的多模态方法
公开(公告)号：US07532320B2
公开(公告)日：2009-05-12
申请号：US11000841
申请日：2004-11-30
申请人： Jason Neiss , Matthew P. Nelson , Patrick Treado , Robert Schweitzer
发明人： Jason Neiss , Matthew P. Nelson , Patrick Treado , Robert Schweitzer
IPC分类号： G01J3/44
CPC分类号： G01N21/65 , G01J3/02 , G01J3/0291 , G01J3/0294 , G01J3/4406 , G01N21/6458
摘要： The invention relates to apparatus and methods for assessing occurrence of a hazardous agent in a sample by performing multimodal spectral analysis of the sample. Methods of employing Raman spectroscopy for entities in a sample which exhibit one or more optical properties characteristic of a hazardous agent are disclosed. Devices and systems suitable for performing such methods are also disclosed.
摘要翻译：本发明涉及通过对样品进行多峰频谱分析来评估样品中危险剂的发生的装置和方法。公开了对具有特征性危险物质的一种或多种光学特性的样品中的实体采用拉曼光谱的方法。还公开了适于执行这些方法的装置和系统。

6. 发明申请

US20080192246A1 MULTIMODAL METHOD FOR IDENTIFYING HAZARDOUS AGENTS 有权
标题翻译：用于识别危险剂的多模式方法
公开(公告)号：US20080192246A1
公开(公告)日：2008-08-14
申请号：US11000841
申请日：2004-11-30
申请人： Jason Neiss , Matthew P. Nelson , Patrick Treado , Robert Schweitzer
发明人： Jason Neiss , Matthew P. Nelson , Patrick Treado , Robert Schweitzer
IPC分类号： G01J3/44 , G01N21/65
CPC分类号： G01N21/65 , G01J3/02 , G01J3/0291 , G01J3/0294 , G01J3/4406 , G01N21/6458
摘要： The invention relates to apparatus and methods for assessing occurrence of a hazardous agent in a sample by performing multimodal spectral analysis of the sample. Methods of employing Raman spectroscopy for entities in a sample which exhibit one or more optical properties characteristic of a hazardous agent are disclosed. Devices and systems suitable for performing such methods are also disclosed.
摘要翻译：本发明涉及通过对样品进行多峰频谱分析来评估样品中危险剂的发生的装置和方法。公开了对具有特征性危险物质的一种或多种光学特性的样品中的实体采用拉曼光谱的方法。还公开了适于执行这些方法的装置和系统。

7. 发明申请

US20070136014A1 System and method for automated baseline correction for raman spectra 有权
标题翻译：拉曼光谱自动基线校正的系统和方法
公开(公告)号：US20070136014A1
公开(公告)日：2007-06-14
申请号：US11635659
申请日：2006-12-08
申请人： Jason Neiss
发明人： Jason Neiss
IPC分类号： G01R23/16 , G06F19/00
CPC分类号： G01N21/65
摘要： A system and method for automated baseline correction for Raman spectra is disclosed which may operate as a piecewise-linear baseline correction function. In an embodiment, a first set of data points from a Raman spectrum are determined to be baseline data points, a second set of data points from the Raman spectrum are determined to be baseline data points where the second set of data points are not contiguous with the first set of data points. The gap between the first and second set of data points is bridged by a straight line thereby forming an estimated baseline. The estimated baseline is smoothed and then subtracted from the Raman spectrum resulting in an adjusted-baseline Raman spectrum.
摘要翻译：公开了用于拉曼光谱的自动基线校正的系统和方法，其可以作为分段线性基线校正功能操作。在一个实施例中，来自拉曼光谱的第一组数据点被确定为基线数据点，来自拉曼光谱的第二组数据点被确定为基准数据点，其中第二组数据点不与第一组数据点。第一和第二组数据点之间的间隙由直线桥接，从而形成估计基线。将估计的基线平滑，然后从拉曼光谱中减去，得到经调整的基线拉曼光谱。

8. 发明申请

US20060013500A1 Method and apparatus for super montage large area spectroscopic imaging 有权
公开(公告)号：US20060013500A1
公开(公告)日：2006-01-19
申请号：US11228382
申请日：2005-09-19
申请人： John Maier , Jason Neiss
发明人： John Maier , Jason Neiss
IPC分类号： G06K9/40
CPC分类号： G06T5/006 , G01J2003/2826 , G06T5/50
摘要： The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.

9. 发明申请

US20100217537A1 Method and Apparatus for Multimodal Detection 有权
标题翻译：多模态检测方法与装置
公开(公告)号：US20100217537A1
公开(公告)日：2010-08-26
申请号：US12718362
申请日：2010-03-05
申请人： Jason Neiss , Patrick Treado , Robert C. Schweitzer
发明人： Jason Neiss , Patrick Treado , Robert C. Schweitzer
IPC分类号： G01J3/44 , G06F19/00
CPC分类号： G01J3/28
摘要： System and method for assessing the occurrence of an unknown substance in a sample that comprises multiple entities. A reference library is provided comprising a plurality of reference data sets representative of at least one known substance. A first feature of the entities is assessed wherein the first feature is characteristic of the unknown substance. A region of interest is selected wherein the region of interest comprises at least one entity exhibiting the first feature. A spatially accurate wavelength resolved Raman image is obtained wherein each pixel in the image is the Raman spectrum of the sample at the corresponding location. The spatially accurate wavelength resolved image is assessed to thereby identify the unknown substance.
摘要翻译：用于评估包含多个实体的样品中未知物质的发生的系统和方法。提供了包括代表至少一种已知物质的多个参考数据集的参考文库。评估实体的第一特征，其中第一特征是未知物质的特征。选择感兴趣区域，其中感兴趣区域包括展示第一特征的至少一个实体。获得空间精确的波长分辨拉曼图像，其中图像中的每个像素是相应位置处样品的拉曼光谱。评估空间上准确的波长分辨图像，从而识别未知物质。

10. 发明申请

US20100093015A1 Spectroscopic systems and methods for classifying and pharmaceutically treating cells 有权
标题翻译：用于分类和药物治疗细胞的光谱系统和方法
公开(公告)号：US20100093015A1
公开(公告)日：2010-04-15
申请号：US12462350
申请日：2009-08-03
申请人： Janice L. Panza , John Maier , Jason Neiss
发明人： Janice L. Panza , John Maier , Jason Neiss
IPC分类号： C12Q1/02 , C12M1/34
CPC分类号： G01J3/44 , G01J3/10 , G01J3/36 , G01N15/1475 , G01N21/6458 , G01N21/65 , G01N2015/1006 , G01N2015/1488 , G02B21/0096
摘要： A system and method to distinguish normal cells from cells having undergone a biochemical change. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference spectral data sets for normal cells and a second plurality of reference spectral data sets for cells having undergone a biochemical change. A sample is irradiated to generate a target spectral data set based on photons absorbed, reflected, emitted, or scattered by the sample. The target spectral data set is transformed into a pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, cells having undergone a biochemical change, and combinations thereof. The method includes treating the sample with a pharmaceutical agent prior to irradiating the sample and using the classification to assess the efficiency of the pharmaceutical agent.
摘要翻译：将正常细胞与经历生物化学变化的细胞区分开的系统和方法。选择预定向量空间，其中矢量空间数学地描述正常小区的第一多个参考频谱数据集，以及已经历生化变化的小区的第二多个参考频谱数据集。照射样品以基于样品吸收，反射，发射或散射的光子产生目标光谱数据集。将目标光谱数据集转换为预定向量空间。在预定向量空间中分析变换数据的分布。基于该分析，将样品分类为含有正常细胞，经历生物化学变化的细胞及其组合。该方法包括在照射样品之前用药剂处理样品并使用分类来评估药剂的效率。

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