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。