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    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE
    1.
    发明申请
    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE 有权
    用于鉴定文化中微生物的光谱手段和方法

    公开(公告)号：US20140377795A1

    公开(公告)日：2014-12-25

    申请号：US14367060

    申请日：2012-12-19

    Applicant: OPTICUL DIAGNOSTICS LTD. ,  OPTICUL DIAGNOSTICS Inc.

    Inventor： Gallya Gannot ,  Dror Lederman ,  Moinuddin Hassan ,  Israel Gannot

    IPC: C12Q1/04 ,  G01N21/65 ,  G01N21/25

    CPC classification number: C12Q1/04 ,  C12M41/36 ,  G01N21/255 ,  G01N21/3577 ,  G01N21/39 ,  G01N21/64 ,  G01N21/65 ,  G01N2021/1742 ,  G01N2021/1744 ,  G01N2021/3595 ,  G01N2021/6417 ,  G01N2201/06113 ,  G01N2201/129 ,  G01N2201/1296 ,  G06F19/10

    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

    Abstract translation: 公开了用于光谱检测和鉴定培养细菌的光谱方法。 该方法包括来自怀疑含有所述细菌的培养样品的至少一个数据集的构建，其可以是光谱，干涉图案或散射图案。 对样品中水的存在进行数据集的校正，使用主成分分析提取光谱特征，并使用学习算法对特征进行分类。 在本发明的一些实施方案中，例如为了区分MRSA和MSSA，进行多模态分析，其中基于样品的光谱，用于确定细胞壁厚度的干涉图案和散射来确定细菌的鉴定 用于确定细胞壁粗糙度的图案。 还公开了一种用于执行该方法的装置，其一个实施例包括多个样本分析器。

    Spectroscopic means and methods for identifying microorganisms in culture
    2.
    发明授权
    Spectroscopic means and methods for identifying microorganisms in culture 有权
    用于鉴定培养物中的微生物的光谱学方法和方法

    公开(公告)号：US09365883B2

    公开(公告)日：2016-06-14

    申请号：US14367060

    申请日：2012-12-19

    Applicant: OPTICUL DIAGNOSTICS LTD. ,  OPTICUL DIAGNOSTICS Inc.

    Inventor： Gallya Gannot ,  Dror Lederman ,  Hassan Moinuddin ,  Israel Gannot

    IPC: G01N21/00 ,  C12Q1/04 ,  G01N21/65 ,  G01N21/3577 ,  G01N21/25 ,  C12M1/34 ,  G01N21/39 ,  G01N21/64 ,  G01N21/35 ,  G01N21/17 ,  G06F19/10

    CPC classification number: C12Q1/04 ,  C12M41/36 ,  G01N21/255 ,  G01N21/3577 ,  G01N21/39 ,  G01N21/64 ,  G01N21/65 ,  G01N2021/1742 ,  G01N2021/1744 ,  G01N2021/3595 ,  G01N2021/6417 ,  G01N2201/06113 ,  G01N2201/129 ,  G01N2201/1296 ,  G06F19/10

    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

    Abstract translation: 公开了用于光谱检测和鉴定培养细菌的光谱方法。 该方法包括来自怀疑含有所述细菌的培养样品的至少一个数据集的构建，其可以是光谱，干涉图案或散射图案。 对样品中水的存在进行数据集的校正，使用主成分分析提取光谱特征，并使用学习算法对特征进行分类。 在本发明的一些实施方案中，例如为了区分MRSA和MSSA，进行多模态分析，其中基于样品的光谱，用于确定细胞壁厚度的干涉图案和散射来确定细菌的鉴定 用于确定细胞壁粗糙度的图案。 还公开了一种用于执行该方法的装置，其一个实施例包括多个样本分析器。

    СПОСОБ СПЕКТРАЛЬНОГО ОБНАРУЖЕНИЯ И ИДЕНТИФИКАЦИИ МИКРООРГАНИЗМОВ В КУЛЬТУРЕ
    3.
    发明专利
    СПОСОБ СПЕКТРАЛЬНОГО ОБНАРУЖЕНИЯ И ИДЕНТИФИКАЦИИ МИКРООРГАНИЗМОВ В КУЛЬТУРЕ 未知

    公开(公告)号：EA033790B1

    公开(公告)日：2019-11-26

    申请号：EA201400824

    申请日：2012-12-19

    Applicant: OPTICUL DIAGNOSTICS LTD ,  OPTICUL DIAGNOSTICS INC

    Inventor： GANNOT GALLYA ,  LEDERMAN DROR ,  MOINUDDIN HASSAN ,  GANNOT ISRAEL

    IPC: G01N21/00 ,  G01N21/25 ,  G01N33/00

    Abstract: Раскрываетсяспектроскопическийспособдляспектроскопическогообнаруженияи идентификациибактерийв культуре. Способвключаетв себяпостроениепоменьшеймереодногонабораданных, которыйможетвключатьспектр, интерференционнуюкартинуиликартинурассеяниякультивированногообразца, предположительносодержащегоуказанныебактерии. Наборданныхкорректируетсянаналичиеводыв образце, спектральныепризнакиизвлекаютсяс помощьюанализаглавныхкомпонентов, афункцииклассификацииполученыс использованиемалгоритмаобучения. Внекоторыхвариантахосуществленияизобретения, напримердлядифференциации MRSA из MSSA, используетсямультимодальныйанализ, вкоторомидентификациябактерийвыполненанаосновеспектраобразца, интерференционнойкартины, используемойдляопределениятолщиныклеточнойстенки, ирассеяния, используемогодляопределенияшероховатостиклеточнойстенки. Такжераскрытодинвариантустройствадляосуществленияспособа, которыйвключаетв себянесколькоанализаторовобразцов.

    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE
    5.
    发明专利
    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE 未知

    公开(公告)号：CA2859951A1

    公开(公告)日：2013-06-27

    申请号：CA2859951

    申请日：2012-12-19

    Applicant: OPTICUL DIAGNOSTICS INC ,  OPTICUL DIAGNOSTICS LTD

    Inventor： GANNOT GALLYA ,  LEDERMAN DROR ,  MOINUDDIN HASSAN ,  GANNOT ISRAEL

    IPC: C12Q1/04 ,  C12M1/34 ,  G01J3/10 ,  G01N21/01 ,  G01N21/25 ,  G01N33/483 ,  G06F19/10

    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRS A from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE
    6.
    发明申请
    SPECTROSCOPIC MEANS AND METHODS FOR IDENTIFYING MICROORGANISMS IN CULTURE 审中-公开
    用于鉴定文化中微生物的光谱手段和方法

    公开(公告)号：WO2013093913A1

    公开(公告)日：2013-06-27

    申请号：PCT/IL2012/050534

    申请日：2012-12-19

    Applicant: OPTICUL DIAGNOSTICS LTD. ,  OPTICUL DIAGNOSTICS INC.

    Inventor： GANNOT, Gallya ,  LEDERMAN, Dror ,  MOINUDDIN, Hassan ,  GANNOT, Israel

    IPC: G01N21/00 ,  G01N21/25 ,  G01N33/00

    CPC classification number: C12Q1/04 ,  C12M41/36 ,  G01N21/255 ,  G01N21/3577 ,  G01N21/39 ,  G01N21/64 ,  G01N21/65 ,  G01N2021/1742 ,  G01N2021/1744 ,  G01N2021/3595 ,  G01N2021/6417 ,  G01N2201/06113 ,  G01N2201/129 ,  G01N2201/1296 ,  G06F19/10

    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRS A from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

    Abstract translation: 公开了用于光谱检测和鉴定培养细菌的光谱方法。 该方法包括来自怀疑含有所述细菌的培养样品的至少一个数据集的构建，其可以是光谱，干涉图案或散射图案。 对样品中水的存在进行数据集的校正，使用主成分分析提取光谱特征，并使用学习算法对特征进行分类。 在本发明的一些实施方案中，例如为了区分MRS A和MSSA，进行多模式分析，其中基于样品的光谱，用于确定细胞壁厚度的干涉图案和 用于确定细胞壁粗糙度的散射图。 还公开了一种用于执行该方法的装置，其一个实施例包括多个样本分析器。

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