María García‐Altares

This paper introduces a method using solid ionic matrices with low-temperature evaporation to improve MALDI-MSI sensitivity and resolution for small metabolites, achieving detection of 73 metabolites in mouse brain.

This paper introduces low-temperature thermal evaporation (LTE) for matrix deposition in MALDI-MSI, showing improved image quality, purity, and stability compared to traditional methods.

This study introduces a workflow using isotopic labeling to identify and remove matrix adducts in MALDI-MSI, improving metabolite annotation and tissue morphology interpretation.

rMSIcleanup annotates and removes matrix-related peaks in MSI data, improving post-processing by reducing redundant signals.