Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313237061> ?p ?o ?g. }
- W4313237061 abstract "Abstract Mass spectrometry imaging (MSI) of lipids in biological tissues is useful for correlating molecular distribution with pathological results, which could provide useful information for both biological research and disease diagnosis. It is well understood that the lipidome could not be clearly deciphered without tandem mass spectrometry analysis, but this is challenging to achieve in MSI due to the limitation in sample amount at each image spot. Here we develop a multiplexed MS 2 imaging (MS 2 I) method that can provide MS 2 images for 10 lipid species or more for each sampling spot, providing spatial structural lipidomic information. Coupling with on‐tissue photochemical derivatization, imaging of 20 phospholipid C=C location isomers is also realized, showing enhanced molecular images with high definition in structure for mouse brain and human liver cancer tissue sections. Spatially mapped t‐distributed stochastic neighbor embedding has also been adopted to visualize the tumor margin with enhancement by structural lipidomic information." @default.
- W4313237061 created "2023-01-06" @default.
- W4313237061 creator A5003807739 @default.
- W4313237061 creator A5006645827 @default.
- W4313237061 creator A5012412448 @default.
- W4313237061 creator A5017376277 @default.
- W4313237061 creator A5037321482 @default.
- W4313237061 creator A5044776577 @default.
- W4313237061 creator A5056770124 @default.
- W4313237061 creator A5063879522 @default.
- W4313237061 creator A5079252934 @default.
- W4313237061 creator A5082302469 @default.
- W4313237061 creator A5083314108 @default.
- W4313237061 date "2023-01-18" @default.
- W4313237061 modified "2023-10-14" @default.
- W4313237061 title "Tandem Mass Spectrometry Imaging Enables High Definition for Mapping Lipids in Tissues" @default.
- W4313237061 cites W1511445613 @default.
- W4313237061 cites W1561871927 @default.
- W4313237061 cites W2036847748 @default.
- W4313237061 cites W2059544508 @default.
- W4313237061 cites W2071598883 @default.
- W4313237061 cites W2147753992 @default.
- W4313237061 cites W2529758722 @default.
- W4313237061 cites W2530976429 @default.
- W4313237061 cites W2554524193 @default.
- W4313237061 cites W2556219511 @default.
- W4313237061 cites W2773829369 @default.
- W4313237061 cites W2774573103 @default.
- W4313237061 cites W2792873661 @default.
- W4313237061 cites W2804360210 @default.
- W4313237061 cites W2804741598 @default.
- W4313237061 cites W2885062223 @default.
- W4313237061 cites W2885157624 @default.
- W4313237061 cites W2886240473 @default.
- W4313237061 cites W2900512347 @default.
- W4313237061 cites W2901890388 @default.
- W4313237061 cites W2907911959 @default.
- W4313237061 cites W2908445558 @default.
- W4313237061 cites W2908586978 @default.
- W4313237061 cites W2970286047 @default.
- W4313237061 cites W2974116871 @default.
- W4313237061 cites W2999372146 @default.
- W4313237061 cites W3008502180 @default.
- W4313237061 cites W3039944652 @default.
- W4313237061 cites W3125703476 @default.
- W4313237061 cites W3206353152 @default.
- W4313237061 cites W4205897193 @default.
- W4313237061 cites W4238113207 @default.
- W4313237061 cites W4240972344 @default.
- W4313237061 cites W4242291604 @default.
- W4313237061 cites W4254594791 @default.
- W4313237061 cites W4256125722 @default.
- W4313237061 cites W4290059472 @default.
- W4313237061 cites W4290059732 @default.
- W4313237061 doi "https://doi.org/10.1002/anie.202214804" @default.
- W4313237061 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36575135" @default.
- W4313237061 hasPublicationYear "2023" @default.
- W4313237061 type Work @default.
- W4313237061 citedByCount "5" @default.
- W4313237061 countsByYear W43132370612023 @default.
- W4313237061 crossrefType "journal-article" @default.
- W4313237061 hasAuthorship W4313237061A5003807739 @default.
- W4313237061 hasAuthorship W4313237061A5006645827 @default.
- W4313237061 hasAuthorship W4313237061A5012412448 @default.
- W4313237061 hasAuthorship W4313237061A5017376277 @default.
- W4313237061 hasAuthorship W4313237061A5037321482 @default.
- W4313237061 hasAuthorship W4313237061A5044776577 @default.
- W4313237061 hasAuthorship W4313237061A5056770124 @default.
- W4313237061 hasAuthorship W4313237061A5063879522 @default.
- W4313237061 hasAuthorship W4313237061A5079252934 @default.
- W4313237061 hasAuthorship W4313237061A5082302469 @default.
- W4313237061 hasAuthorship W4313237061A5083314108 @default.
- W4313237061 hasConcept C101092202 @default.
- W4313237061 hasConcept C104317684 @default.
- W4313237061 hasConcept C136339569 @default.
- W4313237061 hasConcept C150394285 @default.
- W4313237061 hasConcept C150903083 @default.
- W4313237061 hasConcept C162356407 @default.
- W4313237061 hasConcept C162711632 @default.
- W4313237061 hasConcept C178790620 @default.
- W4313237061 hasConcept C185592680 @default.
- W4313237061 hasConcept C207001950 @default.
- W4313237061 hasConcept C24066741 @default.
- W4313237061 hasConcept C2780241833 @default.
- W4313237061 hasConcept C31827203 @default.
- W4313237061 hasConcept C43617362 @default.
- W4313237061 hasConcept C46111723 @default.
- W4313237061 hasConcept C55493867 @default.
- W4313237061 hasConcept C58017582 @default.
- W4313237061 hasConcept C70721500 @default.
- W4313237061 hasConcept C75280812 @default.
- W4313237061 hasConcept C80311884 @default.
- W4313237061 hasConcept C86153913 @default.
- W4313237061 hasConcept C86803240 @default.
- W4313237061 hasConceptScore W4313237061C101092202 @default.
- W4313237061 hasConceptScore W4313237061C104317684 @default.
- W4313237061 hasConceptScore W4313237061C136339569 @default.
- W4313237061 hasConceptScore W4313237061C150394285 @default.
- W4313237061 hasConceptScore W4313237061C150903083 @default.
- W4313237061 hasConceptScore W4313237061C162356407 @default.