| Literature DB >> 29786091 |
Shane R Ellis1, Martin R L Paine1, Gert B Eijkel1, Josch K Pauling2,3, Peter Husen4, Mark W Jervelund2, Martin Hermansson2, Christer S Ejsing5,6, Ron M A Heeren7.
Abstract
We report a method that enables automated data-dependent acquisition of lipid tandem mass spectrometry data in parallel with a high-resolution mass spectrometry imaging experiment. The method does not increase the total image acquisition time and is combined with automatic structural assignments. This lipidome-per-pixel approach automatically identified and validated 104 unique molecular lipids and their spatial locations from rat cerebellar tissue.Entities:
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Year: 2018 PMID: 29786091 DOI: 10.1038/s41592-018-0010-6
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547