Automated, parallel mass spectrometry imaging and structural identification of lipids.
Shane R EllisMartin R L PaineGert B EijkelJosch K PaulingPeter HusenMark W JervelundMartin HermanssonChrister S EjsingRon M A HeerenPublished in: Nature methods (2018)
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.
Keyphrases
- liquid chromatography
- high resolution mass spectrometry
- tandem mass spectrometry
- mass spectrometry
- ultra high performance liquid chromatography
- gas chromatography
- deep learning
- high resolution
- high performance liquid chromatography
- machine learning
- simultaneous determination
- electronic health record
- solid phase extraction
- high throughput
- big data
- fatty acid
- artificial intelligence
- capillary electrophoresis
- oxidative stress
- ms ms
- data analysis
- fluorescence imaging