Mathematical Framework for Quantifying Delocalization in MALDI-MSI via a Composite Scoring Approach.
Ontology highlight
ABSTRACT: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has become a widely used tool for demonstrating the spatial distribution of biomolecules in tissue. One common issue in this technique that can have an impact on sensitivity and spatial resolution is analyte delocalization, in which the analyte spreads across the tissue or beyond the tissue boundaries, often due to sample handling or matrix application. In this study, we tested several metrics to evaluate delocalization using MALDI-MSI data from mouse brain sections. These metrics included the distance between the centers of mass of the nonzero-intensity pixels of tissue and global, the maximum and mean distances of off-tissue signal from the border, and the total area of background signal. After comparison o
SUBMITTER: Jarrahi A
PROVIDER: S-EPMC12921599 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA