Special Issues-03-01-2019

Special Issues

Data-independent acquisition (DIA) makes it possible to re-interrogate data from earlier analyses to determine if new compounds have appeared in a sample previously analyzed. In this interview, Craig Wheelock of the Karolinska Institute discusses the use of DIA in metabolomics.