Precursor selection using an artificial intelligence algorithm increases proteomic sample coverage and reproducibility
US9040903B2 · kind B2 · utility
7Cited by
22References
21Claims
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Key dates
| Filing date | Apr 3, 2012 |
| Grant date | May 26, 2015 |
| Priority date | — |
| Expiry date | Jul 13, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are mass spectrometry systems and methods which utilize a dynamic a new data acquisition/instrument control methodology. These systems and methods employ novel artificial intelligence algorithms to greatly increase quantitative and/or identification accuracy during data acquisition. In an embodiment, the algorithms can adapt the instrument methods and systems during data acquisition to direct data acquisition resources to increase quantitative or identification accuracy of target analytes, such as proteins, peptides, and peptide fragments.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.