Matches in SemOpenAlex for { <https://semopenalex.org/work/W3093477907> ?p ?o ?g. }
- W3093477907 abstract "Water and lipids are key participants in many biological processes, but there are few non-invasive methods that provide quantification of these components in vivo, and none that can isolate and quantify lipids in the blood. Here we develop a new imaging modality termed shortwave infrared meso-patterned imaging (SWIR-MPI) to provide label-free, non-contact, spatial mapping of water and lipid concentrations in tissue. The method utilizes patterned hyperspectral illumination to target chromophore absorption bands in the 900-1,300 nm wavelength range. We use SWIR-MPI to monitor clinically important physiological processes including edema, inflammation, and tumor lipid heterogeneity in preclinical models. We also show that SWIR-MPI can spatially map blood-lipids in humans, representing an example of non-invasive and contact-free measurements of in vivo blood lipids. Together, these results highlight the potential of SWIR-MPI to enable new capabilities in fundamental studies and clinical monitoring of major conditions including obesity, cancer, and cardiovascular disease." @default.
- W3093477907 created "2020-10-29" @default.
- W3093477907 creator A5005223479 @default.
- W3093477907 creator A5008516840 @default.
- W3093477907 creator A5024739629 @default.
- W3093477907 creator A5029821721 @default.
- W3093477907 creator A5039440633 @default.
- W3093477907 creator A5040810928 @default.
- W3093477907 creator A5046110331 @default.
- W3093477907 creator A5066902671 @default.
- W3093477907 creator A5070668942 @default.
- W3093477907 date "2020-10-23" @default.
- W3093477907 modified "2023-09-30" @default.
- W3093477907 title "Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content" @default.
- W3093477907 cites W145151814 @default.
- W3093477907 cites W1596019802 @default.
- W3093477907 cites W1605197042 @default.
- W3093477907 cites W1645445322 @default.
- W3093477907 cites W1903778810 @default.
- W3093477907 cites W1967572900 @default.
- W3093477907 cites W1972978188 @default.
- W3093477907 cites W1985431966 @default.
- W3093477907 cites W1989560325 @default.
- W3093477907 cites W1998728654 @default.
- W3093477907 cites W2005593244 @default.
- W3093477907 cites W2012834939 @default.
- W3093477907 cites W2023531846 @default.
- W3093477907 cites W2031355941 @default.
- W3093477907 cites W2035426904 @default.
- W3093477907 cites W2038335084 @default.
- W3093477907 cites W2039230527 @default.
- W3093477907 cites W2040996098 @default.
- W3093477907 cites W2041202704 @default.
- W3093477907 cites W2042852889 @default.
- W3093477907 cites W2043480500 @default.
- W3093477907 cites W2045588169 @default.
- W3093477907 cites W2061096962 @default.
- W3093477907 cites W2069009977 @default.
- W3093477907 cites W2069649414 @default.
- W3093477907 cites W2075674528 @default.
- W3093477907 cites W2075931376 @default.
- W3093477907 cites W2079482653 @default.
- W3093477907 cites W2081136491 @default.
- W3093477907 cites W2082945841 @default.
- W3093477907 cites W2086716742 @default.
- W3093477907 cites W2087693053 @default.
- W3093477907 cites W2093389287 @default.
- W3093477907 cites W2100372812 @default.
- W3093477907 cites W2102681122 @default.
- W3093477907 cites W2123617622 @default.
- W3093477907 cites W2127595148 @default.
- W3093477907 cites W2131353909 @default.
- W3093477907 cites W2136708034 @default.
- W3093477907 cites W2137211946 @default.
- W3093477907 cites W2145388473 @default.
- W3093477907 cites W2148293218 @default.
- W3093477907 cites W2156431837 @default.
- W3093477907 cites W2157413365 @default.
- W3093477907 cites W2157803031 @default.
- W3093477907 cites W2158322768 @default.
- W3093477907 cites W2168444508 @default.
- W3093477907 cites W2343948422 @default.
- W3093477907 cites W2400607299 @default.
- W3093477907 cites W2401695046 @default.
- W3093477907 cites W2522772070 @default.
- W3093477907 cites W2549976854 @default.
- W3093477907 cites W2560069490 @default.
- W3093477907 cites W2569658671 @default.
- W3093477907 cites W2574427666 @default.
- W3093477907 cites W2589689453 @default.
- W3093477907 cites W2604773358 @default.
- W3093477907 cites W2604828609 @default.
- W3093477907 cites W2606668319 @default.
- W3093477907 cites W2614578122 @default.
- W3093477907 cites W2757317478 @default.
- W3093477907 cites W2780943866 @default.
- W3093477907 cites W2782327081 @default.
- W3093477907 cites W2783852093 @default.
- W3093477907 cites W2789303564 @default.
- W3093477907 cites W2805628886 @default.
- W3093477907 cites W2884608824 @default.
- W3093477907 cites W2904801787 @default.
- W3093477907 cites W2911685236 @default.
- W3093477907 cites W2919919280 @default.
- W3093477907 cites W4210551926 @default.
- W3093477907 cites W4232006079 @default.
- W3093477907 cites W4253316002 @default.
- W3093477907 cites W4254185889 @default.
- W3093477907 doi "https://doi.org/10.1038/s41467-020-19128-7" @default.
- W3093477907 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7585425" @default.
- W3093477907 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33097705" @default.
- W3093477907 hasPublicationYear "2020" @default.
- W3093477907 type Work @default.
- W3093477907 sameAs 3093477907 @default.
- W3093477907 citedByCount "30" @default.
- W3093477907 countsByYear W30934779072020 @default.
- W3093477907 countsByYear W30934779072021 @default.
- W3093477907 countsByYear W30934779072022 @default.
- W3093477907 countsByYear W30934779072023 @default.
- W3093477907 crossrefType "journal-article" @default.