Opticul Diagnostics Ltd.

Gallya Gannot

Israel Gannot

Dror Lederman

Moshe Ben-David

Hassan Moinuddin

Tomer Eruv

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.

Spectroscopic means and methods for identifying microorganisms in culture

The present invention provides a method for detecting and/or identifying specific bacteria within an uncultured sample. The method comprises steps selected inter alia from (a) obtaining an absorption spectrum (AS) of said uncultured sample; (b) acquiring the n dimensional volume boundaries for said specific bacteria; (c) data processing said AS; and, (d) detecting and/or identifying said specific bacteria if said m1 statistical correlation and/or said m features are within said n dimensional volume.

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Rockville, MD, United States of America

Gallya Gannot