Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content

Yanyu Zhao, Anahita Pilvar, Anup Tank, Hannah Peterson, John Jiang, Jon C. Aster, John Paul Dumas, Mark C. Pierce and Darren Roblyer ()
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Yanyu Zhao: Boston University
Anahita Pilvar: Boston University
Anup Tank: Boston University
Hannah Peterson: Boston University
John Jiang: Boston University
Jon C. Aster: Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School
John Paul Dumas: Rutgers, The State University of New Jersey
Mark C. Pierce: Rutgers, The State University of New Jersey
Darren Roblyer: Boston University

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-19128-7

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