| Literature DB >> 35072143 |
Cameron J Shedlock1, Katherine A Stumpo1,2,3.
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.Entities:
Keywords: AuNP, gold nanoparticle; Cardinal; DESI, desorption electrospray ioniziation; Data validation; IACUC, Institutional Animal Care and Use Committee; ITO, indium tin oxide; MSI, mass spectrometry imaging; Mass spectrometry imaging; PCA, principal component analysis; R Studio; RAM, random access memory; RMS, root mean squared; SNR, signal to noise ratio; SSC, spatial shrunken centroid; SSD, solid state drive; TIC, total ion current
Year: 2021 PMID： 35072143 PMCID： PMC8762469 DOI： 10.1016/j.jmsacl.2021.12.007
Source DB: PubMed Journal: J Mass Spectrom Adv Clin Lab ISSN： 2667-145X