Mass spectrometry imaging (MSI) is a critical tool used to investigate tissues and molecules in spatial bioanalysis. Technical challenges in MSI, also known as batch-effects, have proven to impede reliable comparison of data from large-scale studies performed in translational clinical research.
Meaningful analysis of data generated in large-scale studies is critical for medicine and biology studies. This application note focuses on a batch correction method designed to minimize impedance of batch-effects and allow reliable identification of biological clusters and their comparison.
Download to learn more about batch alignment through data integration.