Analyzing data independent acquisition mass spectrometry with noiseless ion-networks

Despite technical improvements in data-independent acquisition (DIA) mass spectrometry (MS) such as ion mobility separation (IMS) and scanning quadrupoles, there is still a trade-off between data integrity and chimericy. Here we present how to collapse multiple reproducible DIA runs from different samples into a single noiseless ion-network that computationally eliminates chimericy. This natural DIA data format is ideally suited for untargeted fragment identification and liberates hardware to prioritize data integrity towards an unprecedented quantitative accuracy.

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