Spatial Metabolomics co-registered with Multiplex Phenotyping for the Evaluation of Human Kidney Tissue
Greice Michele ZickuhriD, In Hwa UmiD, Alexander LairdiD, David James HarrisoniD, Alison L. DicksoniD
Abstract
A workflow has been evaluated that utilises a single tissue section to obtain spatially co-registered, molecular, and phenotypical information suitable for AI-enabled analysis. The impact of varying DESI-MSI conditions (e.g., temperature, scan rate, acquisition time) on the detection of small molecules and on tissue quality for integration into typical clinical pathology workflows assessed in human kidney.
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