CLASSIFICATION OF SAMPLES

摘要

An apparatus and method for infrared spectral analysis of samples to determine if the samples are normal or abnormal or to otherwise classify the sample. More specifically, the apparatus and method classify the sample on the basis of attenuation of infrared radiation at different wavelengths using a within-sample variance model. Further, the method and apparatus can include merging the output of multivariate classification models with the within-sample variance model applied to the infrared spectra sample such that their combined output results in a classification accuracy that is greater than any single model. The invention is useful in classifying, for example, biological samples such as human tissue, including cervical cells.