Synchronizing analysis with data acquisition leads to faster library-free DIA analysis

Increasingly ‘library-free’ analysis has become a popular alternative for analyzing DIA data. Being able to skip DDA acquisition for library generation greatly simplifies the workflow. A downside of this approach is that it can be significantly slower than performing a classical DIA analysis with an available library. In certain cases, the analysis step can be as slow as the acquisition time. We hypothesize that the trend towards larger raw files will continue and amplify the need to find alternative solutions. While one option is parallelization with multiple computers, this is not universally accessible.

To address this data processing challenge, we propose synchronizing library-free analysis with data acquisition for a more time efficient workflow. This has been realized in a streamlined manner for timsTOF instruments using Bruker ProteoScape™.