Particle analysis using laser ablation mass spectroscopy
US6618712B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 28, 1999 |
| Grant date | Sep 9, 2003 |
| Priority date | — |
| Expiry date | May 28, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a method of quickly identifying bioaerosols by class, even if the subject bioaerosol has not been previously encountered. The method begins by collecting laser ablation mass spectra from known particles. The spectra are correlated with the known particles, including the species of particle and the classification (e.g., bacteria). The spectra can then be used to train a neural network, for example using genetic algorithm-based training, to recognize each spectra and to recognize characteristics of the classifications. The spectra can also be used in a multivariate patch algorithm. Laser ablation mass specta from unknown particles can be presented as inputs to the trained neural net for identification as to classification. The description below first describes suitable intelligent algorithms and multivariate patch algorithms, then presents an example of the present invention including results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.