Method for detecting subpopulations in spectral analysis
US5121338A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jul 11, 1991 |
| Grant date | Jun 9, 1992 |
| Priority date | — |
| Expiry date | Jul 11, 2011 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N21/359
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method for using spectral analysis to detect subpopulations is disclosed. According to this method, a training set of spectra of a first plurality of samples is obtained and a bootstrap distribution is formed. A test set of spectra of a second plurality of samples is then obtained and a second bootstrap distribution is formed. First and second univariate distributions are then formed from the bootstrap distributions. A quantile-quantile relationship of the training and test sets is then developed and a determination of whether the test set and training set are substantially identical is made. The plurality of test samples are thus used to calculate probability density contours inside a training-set spectral cluster and detect perturbations of those contours using a bootstrap procedure. False samples are detected as subclusters well inside the training set, and trace analyses using a very small number of wavelengths are facilitated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.