Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
Cameron J Shedlock1, Katherine A Stumpo1,2,3
1Department of Chemistry, University of Scranton, Scranton, PA 18510, United States.
Journal of Mass Spectrometry and Advances in the Clinical Lab
|January 24, 2022
Abstract:
Mass spectrometry imaging (MSI) has emerged as a rapidly expanding field in the MS community. The analysis of large spectral data is further complicated by the added spatial dimension of MSI. A plethora of resources exist for expert users to begin parsing MSI data in R, but there is a critical lack of guidance for absolute beginners. This tutorial is designed to serve as a one-stop guide to start using R with MSI data and describe the possibilities that data science can bring to MSI analysis.
Keywords:
AuNP, gold nanoparticleCardinalDESI, desorption electrospray ioniziationData validationIACUC, Institutional Animal Care and Use CommitteeITO, indium tin oxideMSI, mass spectrometry imagingMass spectrometry imagingPCA, principal component analysisR StudioRAM, random access memoryRMS, root mean squaredSNR, signal to noise ratioSSC, spatial shrunken centroidSSD, solid state driveTIC, total ion current
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