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Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content
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-patter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585425/ https://www.ncbi.nlm.nih.gov/pubmed/33097705 http://dx.doi.org/10.1038/s41467-020-19128-7 |
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author | Zhao, Yanyu Pilvar, Anahita Tank, Anup Peterson, Hannah Jiang, John Aster, Jon C. Dumas, John Paul Pierce, Mark C. Roblyer, Darren |
author_facet | Zhao, Yanyu Pilvar, Anahita Tank, Anup Peterson, Hannah Jiang, John Aster, Jon C. Dumas, John Paul Pierce, Mark C. Roblyer, Darren |
author_sort | Zhao, Yanyu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7585425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75854252020-10-29 Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content Zhao, Yanyu Pilvar, Anahita Tank, Anup Peterson, Hannah Jiang, John Aster, Jon C. Dumas, John Paul Pierce, Mark C. Roblyer, Darren Nat Commun Article 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. Nature Publishing Group UK 2020-10-23 /pmc/articles/PMC7585425/ /pubmed/33097705 http://dx.doi.org/10.1038/s41467-020-19128-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhao, Yanyu Pilvar, Anahita Tank, Anup Peterson, Hannah Jiang, John Aster, Jon C. Dumas, John Paul Pierce, Mark C. Roblyer, Darren Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title | Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title_full | Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title_fullStr | Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title_full_unstemmed | Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title_short | Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
title_sort | shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585425/ https://www.ncbi.nlm.nih.gov/pubmed/33097705 http://dx.doi.org/10.1038/s41467-020-19128-7 |
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