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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

US20060268266A1 Method and apparatus for compact spectrometer for multipoint sampling of an object 有权
公开(公告)号：US20060268266A1
公开(公告)日：2006-11-30
申请号：US11366660
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： G01N21/65 , G01N21/6456 , G01N2021/6421 , G01N2201/0221
摘要： The disclosure relates to methods and apparatus for assessing occurrence of one or more hazardous agents in a sample by performing multipoint spectral analysis of the sample using a portable or hand-held device. Methods of employing Raman spectroscopy and other spectrophotometric methods are disclosed. Devices and systems suitable for performing such multipoint methods are also disclosed.

3. 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。

4. 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。

5. 发明申请

US20070192035A1 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：US20070192035A1
公开(公告)日：2007-08-16
申请号：US11450138
申请日：2006-06-09
申请人： Robert Schweitzer , Patrick Treado , Jason Neiss
发明人： Robert Schweitzer , Patrick Treado , Jason Neiss
IPC分类号： C40B30/02
CPC分类号： G06F16/2462 , G16C20/20 , G16C20/90
摘要： A system and method to search spectra databases and to identify unknown materials. A library having a plurality of sublibraries is provided wherein each sublibrary contains a plurality of reference data sets generated by a corresponding one of a plurality of spectroscopic data generating instruments associated with the sublibrary. Each reference data set characterizes a corresponding known material. A plurality of test data sets is provided that is characteristic of an unknown material, wherein each test data set is generated by one or more of the plurality of spectroscopic data generating instruments. For each test data set, each sublibrary is searched where the sublibrary is associated with the spectroscopic data generating instrument used to generate the test data set. A corresponding set of scores for each searched sublibrary is produced, wherein each score in the set of scores indicates a likelihood of a match between one of the plurality of reference data sets in the searched sublibrary and the test data set. A set of relative probability values is calculated for each searched sublibrary based on the set of scores for each searched sublibrary. All relative probability values for each searched sublibrary are fused producing a set of final probability values that are used in determining whether the unknown material is represented through a known material characterized in the library. A highest final probability value is selected from the set of final probability values and compared to a minimum confidence value. The known material represented in the libraries having the highest final probability value is reported, if the highest final probability value is greater than or equal to the minimum confidence value.
摘要翻译：搜索光谱数据库并识别未知材料的系统和方法。提供具有多个子图库的库，其中每个子图库包含由与该子图书馆相关联的多个光谱数据生成装置中的相应一个生成的多个参考数据集。每个参考数据集表征相应的已知材料。提供了许多测试数据集，其是未知材料的特征，其中每个测试数据集由多个光谱数据产生装置中的一个或多个产生。对于每个测试数据集，搜索每个子图书馆，其中子图书馆与用于生成测试数据集的光谱数据生成工具相关联。产生每个搜索的子图库的相应的一组分数，其中该分数集中的每个分数表示搜索的子图库中的多个参考数据集之一与测试数据集之间的匹配的可能性。基于每个搜索的子图库的分数集合，针对每个搜索的子图书馆计算一组相对概率值。每个搜索的子图库的所有相对概率值被融合，产生用于确定未知材料是否通过库中表征的已知材料表示的一组最终概率值。从最终概率值的集合中选择最高的最终概率值并与最小置信度值进行比较。如果最大最终概率值大于或等于最小置信度值，则报告具有最高最终概率值的库中表示的已知材料。

6. 发明申请

US20060203238A1 Method and apparatus for compact spectrometer for detecting hazardous agents 有权
标题翻译：用于检测危险物质的紧凑型光谱仪的方法和装置
公开(公告)号：US20060203238A1
公开(公告)日：2006-09-14
申请号：US11366532
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 , G01J3/45
CPC分类号： G01J3/44 , G01J3/02 , G01J3/0205 , G01J3/0218 , G01J3/0256 , G01J3/0264 , G01J3/0272 , G01J3/0283 , G01J3/0291 , G01J3/10 , G01J3/26 , G01J3/28 , G01J3/2823 , G01N21/6456 , G01N21/65 , G01N2021/6423 , G01N2201/0221
摘要： The disclosure relates to a portable system 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：本公开涉及一种便携式系统，用于获得具有第一和第二空间尺寸的样本的空间上准确的波长分辨图像，该图像可以用于通过用光照射样品来检测危险剂，形成全部或全部图像使用拉曼的样品的一部分移动来自样品的光，并且分析拉曼偏移光以获得一种或多种危险剂的特征。

7. 发明申请

US20090012723A1 Adaptive Method for Outlier Detection and Spectral Library Augmentation 审中-公开
标题翻译：异常检测和光谱库扩增的自适应方法
公开(公告)号：US20090012723A1
公开(公告)日：2009-01-08
申请号：US12196921
申请日：2008-08-22
申请人： Patrick J. TREADO , Robert Schweitzer , Jason Neiss
发明人： Patrick J. TREADO , Robert Schweitzer , Jason Neiss
IPC分类号： G01N31/00 , G06F19/00
CPC分类号： G16C20/20 , G16C20/90
摘要： A method for analyzing data from an unknown substance, whereby target data representative of an unknown substance is received and compared to reference data associated with one or more known substances. Such comparison determines one or more candidate substances. After determining candidate substances, it is determined if the target data is unique to a candidate substance. If the target data is unique to one of the candidate substances, then this determination is confirmed with fusion. If the target data is not unique, then the target data may be subjected to fusion and unmixing with fusion. If analysis of the target data determines that an outlier is present, then this target data is added to a pool of unassigned data. The addition of this new data to the pool of unassigned data may result in clustering of enough of the previously unassigned data to form a new candidate class. If analysis of the target data does not detect an outlier, but cannot be matched to an existing candidate class, the target data in this case can also be added to the pool of unassigned data. If no outlier is detected, and the Matching Existing Class step is successful, then the target data is added to the matched class. If this candidate class is confirmed, then it can be added to the list of existing classes.
摘要翻译：用于分析来自未知物质的数据的方法，由此接收表示未知物质的目标数据并与与一种或多种已知物质相关联的参考数据进行比较。这种比较确定一种或多种候选物质。在确定候选物质之后，确定目标数据是否对于候选物质是唯一的。如果目标数据对于候选物质之一是唯一的，则通过融合确认该确定。如果目标数据不是唯一的，则可以对目标数据进行融合和解混合。如果目标数据的分析确定存在异常值，则该目标数据被添加到未分配数据的池中。将此新数据添加到未分配数据池可能会导致足够的以前未分配数据的聚类，以形成新的候选类。如果目标数据的分析没有检测到异常值，但是不能与现有候选类别匹配，则在这种情况下的目标数据也可以被添加到未分配数据的池中。如果没有检测到异常值，并且匹配现有类步骤成功，则将目标数据添加到匹配的类中。如果这个候选类被确认，那么它可以被添加到现有类的列表中。

8. 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。

9. 发明授权

US08112248B2 Forensic integrated search technology with instrument weight factor determination 有权
标题翻译：法医综合检索技术与仪器重量因子测定
公开(公告)号：US08112248B2
公开(公告)日：2012-02-07
申请号：US12017445
申请日：2008-01-22
申请人： Robert Schweitzer , Patrick J. Treado , Jason Neiss
发明人： Robert Schweitzer , Patrick J. Treado , Jason Neiss
IPC分类号： G06F17/18 , G01N31/00
CPC分类号： G06K9/00536 , G06F19/703 , G06F19/709 , H01J49/0036
摘要： A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights. The instrument-specific finer weight values may be applied to test data sets (or spectra) of an unknown material as well as to the library spectra from corresponding spectroscopic instruments. Instrument-specific weights for each class of samples may also be computed for additional customization and accuracy.
摘要翻译：一种用于搜索光谱数据库并从数据库中的多个光谱数据中识别未知物质的系统和方法。该方法可以基本上是自动化的，并且可配置为确定要与来自不同光谱数据生成装置的光谱数据一致的权重，以改进未知材料的识别。已知材料的谱图谱分为训练和验证集。使用权重网格或权重量表确定初始的仪器特定加权因子。训练和验证光谱通过加权因子加权，并且通过迭代过程确定各组“粗”加权因子的指标概率。最终选择的粗加权系数集合使用具有更精确的权重值的权重网格进一步“精细调整”。仪器特定的更精细的重量值可以应用于未知材料的测试数据集（或光谱）以及来自相应光谱仪的文库光谱。也可以计算每类样品的仪器特定重量，以获得额外的定制和准确性。

10. 发明授权

US07679740B2 Method and apparatus for multimodal detection 有权
标题翻译：多模态检测方法和装置
公开(公告)号：US07679740B2
公开(公告)日：2010-03-16
申请号：US11632471
申请日：2005-07-14
申请人： Jason Neiss , Robert Schweitzer , Patrick J. Treado
发明人： Jason Neiss , Robert Schweitzer , Patrick J. Treado
IPC分类号： G01J3/44
CPC分类号： G01J3/44 , G01J3/28 , G01J3/2823 , G01N21/6486 , G01N21/65 , G01N2201/1293
摘要： Methods for detecting and classifying an unknown substance in a sample include the steps of (a) providing a spectrum for each of a predetermined number of reference substances; (b) detecting an area of interest that contains the unknown substance; (c) targeting the area of interest; (d) determining a spectrum of the unknown substance from the area of interest; (e) comparing the determined spectrum of the unknown substance with the spectrum of one or more of the reference substances; and (f) classifying the unknown substance based on the comparison of spectra. Systems for performing these methods include means for providing a spectrum for a predetermined number of reference substances, means for detecting an area of interest on a sample that contains an unknown substance to be classified, means for targeting this area of interest, means for determining a spectrum of the unknown substance in the area of interest, means for comparing this spectrum with the spectrum of one or more of the reference substances, and means for classifying the unknown substance based on the comparison of spectra.
摘要翻译：用于检测和分类样品中未知物质的方法包括以下步骤：（a）为预定数量的参考物质中的每一种提供光谱; （b）检测包含未知物质的感兴趣区域; （c）针对目标地区; （d）从感兴趣的区域确定未知物质的光谱; （e）将所确定的未知物质的光谱与一种或多种参考物质的光谱进行比较; 和（f）基于光谱的比较对未知物质进行分类。用于执行这些方法的系统包括用于提供预定数量的参考物质的光谱的装置，用于检测包含待分类的未知物质的样品上的感兴趣区域的装置，用于瞄准该感兴趣区域的装置，用于确定感兴趣区域中未知物质的光谱，用于将该光谱与一种或多种参考物质的光谱进行比较的手段，以及基于光谱比较对未知物质进行分类的装置。

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