Sequential Paired Covariance for Improved Visualization of Mass Spectrometry Imaging Datasets

In this study, we present a new approach for improving image quality and visualization of tissue features by application of sequential paired covariance (SPC). This approach was demonstrated using previously published tissue datasets such as rat brain and human prostate with different biomolecules like metabolites and N-linked glycans. Data transformation by SPC improved ion images resulting in increased smoothing of biological features compared to commonly used normalization approaches.

Source: Journal of Mass Spectrometry - June 13, 2022 Category: Chemistry Authors: Crystal L. Pace, Kenneth P. Garrard, David C. Muddiman Tags: RESEARCH ARTICLE Source Type: research