Deep-tissue optical imaging of near cellular-sized features
Name
Dang, Bardhan et al._Scientific Reports (2019).pdf
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2.26 MB
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Checksum (MD5)
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Author(s)
Dang, Xiangnan
Bardhan, Neelkanth Manoj
Qi, Jifa
Gu, Li
Eze, Ngozi A
Lin, Ching-Wei
Kataria, Swati
Hammond, Paula T
Belcher, Angela M
Date Issued
March 2019
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Dang, Xiangnan et al. “Deep-Tissue Optical Imaging of Near Cellular-Sized Features.” Scientific Reports 9, 1 (March 2019). doi:10.1038/s41598-019-39502-w. © 2019 The Author(s)
Version
Final published version
Abstract
Detection of biological features at the cellular level with sufcient sensitivity in complex tissue remains a major challenge. To appreciate this challenge, this would require fnding tens to hundreds of cells (a 0.1 mm tumor has ~125 cells), out of ~37 trillion cells in the human body. Near-infrared optical imaging holds promise for high-resolution, deep-tissue imaging, but is limited by autofuorescence and scattering. To date, the maximum reported depth using second-window near-infrared (NIR-II: 1000–1700 nm) fuorophores is 3.2 cm through tissue. Here, we design an NIR-II imaging system, “Detection of Optically Luminescent Probes using Hyperspectral and difuse Imaging in Near-infrared” (DOLPHIN), that resolves these challenges. DOLPHIN achieves the following: (i) resolution of probes through up to 8 cm of tissue phantom; (ii) identifcation of spectral and scattering signatures of tissues without a priori knowledge of background or autofuorescence; and (iii) 3D reconstruction of live whole animals. Notably, we demonstrate noninvasive real-time tracking of a 0.1 mm-sized fuorophore through the gastrointestinal tract of a living mouse, which is beyond the detection limit of current imaging modalities.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41598-019-39502-w
