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US 5,596,992 AGranted
Multivariate classification of infrared spectra of cell and tissue samples
AssigneeSandia Corporation
InventorsDavid M. Haaland, Howland D. T. Jones, Edward V. Thomas
Life of this patent
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Abstract
Multivariate classification techniques are applied to spectra from cell and tissue samples irradiated with infrared radiation to determine if the samples are normal or abnormal (cancerous). Mid and near infrared radiation can be used for in vivo and in vitro classifications using at least different wavelengths.
Claims23
A method of classifying a cell or tissue sample comprising:
- generating a plurality of different wavelengths of infrared light;
- irradiating the sample with the plurality of different wavelengths so that there is differential intensity attenuation caused by variations between different classes of the sample as a function of the different wavelengths;
- measuring such intensity attenuations to obtain intensity information at at least three different wavelengths;
- and
- classifying the sample as one of two or more cell or tissue types from the measured intensity attenuations by using a multivariate classification model.
2 more elements
A method of classifying a cell or tissue sample comprising:
- generating a plurality of different wavelengths of mid-infrared light;
- irradiating the sample with the plurality of different wavelengths so that there is differential intensity attenuation caused by variations between different classes of the sample as a function of the different wavelengths;
- measuring such intensity attenuations to obtain intensity information at at least three different wavelengths;
- generating at least one multivariate classification model, said model classifying the different classes of the sample as a function of their different attenuation characteristics at the at least three different wavelengths in relation to a reference classification;
- calculating the classification of the sample from the measured intensity attenuations by using multivariate classification of the intensity attenuations at the at least three different wavelengths based on the classification model;
- and classifying the sample as one of two or more cell or tissue types from the measured intensity attenuations by using said multivariate classification model.
3 more elements
A system for classifying cell or tissue samples comprising:
- means for generating a plurality of different wavelengths of infrared light;
- means for directing at least a portion of the infrared light into the samples;
- means for collecting at least a portion of the infrared light after it has interacted with the samples;
- means for measuring an intensity of the collected infrared light at at least three different wavelengths;
- means, coupled to the measuring means, for storing the measured intensities as a function of the wavelength;
- means for storing at least one multivariate classification model which contains data indicative of a correct classification of known cell or tissue samples;
- and
- processor means coupled to the means for storing the measured intensities and the means for storing the model, the processor means serving as means for calculating the classification of the cell or tissue samples as one of two or more cell or tissue by use of the multivariate classification model and the measured intensities.
5 more elements
Dependencies are inferred from the claim text.