Katerina V. Djambazova

IsoMobil reduces high-dimensional ion mobility mass spectrometry data by grouping isotopologues, improving interpretation at the molecular-species level.

This study identifies region-specific lipid alterations in Alzheimer’s disease white matter hyperintensities using multimodal imaging and SHAP analysis.

IsoSpace provides a chemistry-informed dimensionality reduction method for imaging mass spectrometry that identifies isotopic patterns without prior assumptions.

The paper introduces Moran quadrant maps and workflows for spatial-statistical analysis of molecular imaging data, enabling scalable exploration of spatial dependence and heterogeneity.

The paper presents a multi-modal atlas of human kidney disease, identifying cellular and spatial mechanisms of injury resolution or failure and linking them to clinical outcomes.

This paper integrates MALDI IMS and MxIF microscopy to analyze lipid and molecular profiles of glomerular cell types and substructures in human kidney tissue.

This paper introduces an automated workflow using SHAP to identify biomarker candidates in imaging mass spectrometry data by ranking molecular species based on their predictive importance for biological class recognition.