A Co-registration Pipeline for Multimodal MALDI and Confocal Imaging Analysis of Stem Cell Colonies.
Arina NikitinaDanning HuangLi LiNicholas PetermanSarah E CleavengerFacundo M FernándezMelissa L KempPublished in: Journal of the American Society for Mass Spectrometry (2020)
Multimodal mass spectrometry imaging (MSI) data presents unique big data challenges in handling and analysis. Here, we present a pipeline for co-registering matrix-assisted laser desorption/ionization MSI and confocal immunofluorescence imaging data for extracting single-cell metabolite signatures. We further describe methods and introduce software for the simultaneous analysis of these concatenated data sets, which are designed to establish a connection between cell traits of interest (shape metrics, position within sample) and the cells' own metabolic signatures.
Keyphrases
- big data
- high resolution
- mass spectrometry
- single cell
- stem cells
- artificial intelligence
- electronic health record
- machine learning
- genome wide
- induced apoptosis
- pain management
- optical coherence tomography
- data analysis
- liquid chromatography
- mesenchymal stem cells
- high throughput
- raman spectroscopy
- signaling pathway
- bone marrow
- ms ms
- fluorescence imaging
- gas chromatography
- simultaneous determination