Precursor selection with a artificial - intelligence - algorithm is increased cover and reproducibility of proteomic samples

摘要

In this case, mass spectrometry systems and - a method is described, the dynamic new data acquisition - / instruments methods make use of expensive. These systems and methods operate with new artificial - intelligence - algorithms, about the quantification - and / or identification accuracy in the case of the data acquisition to greatly improve. In one embodiment, the algorithms the instruments method and - systems in the case of the data acquisition adapting, in order to data, the quantification - or identification accuracy of the target analyte, such as proteins, peptides and peptide fragments to increase.