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...

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Published inNature communications Vol. 11; no. 1; p. 5355
Main Authors Zhao, Yanyu, Pilvar, Anahita, Tank, Anup, Peterson, Hannah, Jiang, John, Aster, Jon C, Dumas, John Paul, Pierce, Mark C, Roblyer, Darren
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 23.10.2020
Nature Publishing Group UK
Nature Portfolio
Subjects
Absorption spectra
Adipose Tissue, Brown - diagnostic imaging
Adipose Tissue, Brown - pathology
Adult
Animals
Biological activity
Biomarkers - blood
Blood
Cardiovascular diseases
Cardiovascular Diseases - diagnostic imaging
Chromophores
Edema
Edema - diagnostic imaging
Edema - pathology
Female
Heterogeneity
Heterografts
Humans
In vivo methods and tests
Inflammation - diagnostic imaging
Inflammation - pathology
Infrared imaging
Infrared Rays
Lipids
Lipids - blood
Male
Mapping
Medical imaging
Mice
Mice, Inbred BALB C
Mice, Inbred C57BL
Middle Aged
Moisture content
Neoplasms - diagnostic imaging
Neoplasms - pathology
Obesity - diagnostic imaging
Optical Imaging - instrumentation
Optical Imaging - methods
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - pathology
Radio Waves
Short wave radiation
Spectroscopy, Near-Infrared - instrumentation
Spectroscopy, Near-Infrared - methods
Tissues
Water - analysis
Water content
Online AccessGet full text

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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.
AbstractList 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. Quantifying lipid and water content in tissues non-invasively is difficult, and no method exists to quantify lipids in blood non-invasively. Here the authors develop an imaging approach called shortwave infrared meso-patterned imaging (SWIR-MPI) to detect and spatially map tissue water and lipids in preclinical models.
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.
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.Quantifying lipid and water content in tissues non-invasively is difficult, and no method exists to quantify lipids in blood non-invasively. Here the authors develop an imaging approach called shortwave infrared meso-patterned imaging (SWIR-MPI) to detect and spatially map tissue water and lipids in preclinical models.
Quantifying lipid and water content in tissues non-invasively is difficult, and no method exists to quantify lipids in blood non-invasively. Here the authors develop an imaging approach called shortwave infrared meso-patterned imaging (SWIR-MPI) to detect and spatially map tissue water and lipids in preclinical models.
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.
ArticleNumber 5355
Author Roblyer, Darren
Aster, Jon C
Pierce, Mark C
Pilvar, Anahita
Peterson, Hannah
Zhao, Yanyu
Tank, Anup
Jiang, John
Dumas, John Paul
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/33097705$$D View this record in MEDLINE/PubMed
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SSID ssj0000391844
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Snippet Water and lipids are key participants in many biological processes, but there are few non-invasive methods that provide quantification of these components in...
Abstract Water and lipids are key participants in many biological processes, but there are few non-invasive methods that provide quantification of these...
Quantifying lipid and water content in tissues non-invasively is difficult, and no method exists to quantify lipids in blood non-invasively. Here the authors...
SourceID doaj
pubmedcentral
proquest
crossref
pubmed
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
StartPage 5355
SubjectTerms Absorption spectra
Adipose Tissue, Brown - diagnostic imaging
Adipose Tissue, Brown - pathology
Adult
Animals
Biological activity
Biomarkers - blood
Blood
Cardiovascular diseases
Cardiovascular Diseases - diagnostic imaging
Chromophores
Edema
Edema - diagnostic imaging
Edema - pathology
Female
Heterogeneity
Heterografts
Humans
In vivo methods and tests
Inflammation - diagnostic imaging
Inflammation - pathology
Infrared imaging
Infrared Rays
Lipids
Lipids - blood
Male
Mapping
Medical imaging
Mice
Mice, Inbred BALB C
Mice, Inbred C57BL
Middle Aged
Moisture content
Neoplasms - diagnostic imaging
Neoplasms - pathology
Obesity - diagnostic imaging
Optical Imaging - instrumentation
Optical Imaging - methods
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - pathology
Radio Waves
Short wave radiation
Spectroscopy, Near-Infrared - instrumentation
Spectroscopy, Near-Infrared - methods
Tissues
Water - analysis
Water content
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Title Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content
URI https://www.ncbi.nlm.nih.gov/pubmed/33097705
https://www.proquest.com/docview/2471520579/abstract/
https://search.proquest.com/docview/2454113630
https://pubmed.ncbi.nlm.nih.gov/PMC7585425
https://doaj.org/article/35eb329c1dd3420fba184c8ac9282a99
Volume 11
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