N. H. Patterson

This paper introduces a method for quantitative mass spectrometry imaging of lipids in brain tissue using a multi-class internal standard mixture, revealing absolute lipid concentrations across multiple lipid classes.

The paper constructs a spatio-molecular lipid atlas of the human kidney using multimodal imaging and machine learning, revealing lipid profile variations related to sex and BMI.

This study evaluates how tissue fixation affects lipid analysis in human retina using MALDI-IMS and LC-MS/MS, finding that fixation alters lipid signals but preserves major lipid classes.

This paper applies CODEX multiplexed immunofluorescence to visualize 23 antigens in human kidney tissue, identifying major cell types and substructures with high resolution.

This study uses high-resolution imaging mass spectrometry to map lipid distributions in human retina and supporting tissues at laminar, cellular, and sub-cellular levels.