{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Eriksson JO"],"funding":["Fru Berta Kamprads Stiftelse","Dutch Research Council (NWO)"],"pagination":["16138-16148"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7745203"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["92(24)"],"pubmed_abstract":["Mass spectrometry imaging (MSI) is a technique that provides comprehensive molecular information with high spatial resolution from tissue. Today, there is a strong push toward sharing data sets through public repositories in many research fields where MSI is commonly applied; yet, there is no standardized protocol for analyzing these data sets in a reproducible manner. Shifts in the mass-to-charge ratio (<i>m</i>/<i>z</i>) of molecular peaks present a major obstacle that can make it impossible to distinguish one compound from another. Here, we present a label-free <i>m</i>/<i>z</i> alignment approach that is compatible with multiple instrument types and makes no assumptions on the sample's molecular composition. Our approach, MSIWarp (https://github.com/horvatovichlab/MSIWarp), finds an <i"],"journal":["Analytical chemistry"],"pubmed_title":["MSIWarp: A General Approach to Mass Alignment in Mass Spectrometry Imaging."],"pmcid":["PMC7745203"],"funding_grant_id":["184.034.019"],"pubmed_authors":["Marko-Varga G","Suits F","Eriksson JO","Horvatovich P","Sanchez Brotons A","Rezeli M"],"additional_accession":[]},"is_claimable":false,"name":"MSIWarp: A General Approach to Mass Alignment in Mass Spectrometry Imaging.","description":"Mass spectrometry imaging (MSI) is a technique that provides comprehensive molecular information with high spatial resolution from tissue. Today, there is a strong push toward sharing data sets through public repositories in many research fields where MSI is commonly applied; yet, there is no standardized protocol for analyzing these data sets in a reproducible manner. Shifts in the mass-to-charge ratio (<i>m</i>/<i>z</i>) of molecular peaks present a major obstacle that can make it impossible to distinguish one compound from another. Here, we present a label-free <i>m</i>/<i>z</i> alignment approach that is compatible with multiple instrument types and makes no assumptions on the sample's molecular composition. Our approach, MSIWarp (https://github.com/horvatovichlab/MSIWarp), finds an <i","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Dec","modification":"2025-04-26T09:09:06.641Z","creation":"2025-04-06T12:56:16.218Z"},"accession":"S-EPMC7745203","cross_references":{"pubmed":["33317272"],"doi":["10.1021/acs.analchem.0c03833"]}}