Mass spectrometry (MS)-based metabolomics often rely on separation techniques when analyzing complex biological specimens to improve method resolution,metabolome coverage, quantitative performance, and/or unknown identification. However, low sample throughput and complicated data pre-processing procedures remain major barriers to affordable metabolomic studies that are also scalable to large populations.

MSI-CE-MS in conjunction with PeakMeister allows for rapid and automated data pre-processing of large-scale metabolomic studies while tolerating long-term migration time shifts without the need for complicated dynamic time warping or effective mobility scale transformations.