Deep-tissue optical imaging of near cellular-sized features
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; ... Show more Show less![Thumbnail](/bitstream/handle/1721.1/121128/Dang%2c%20Bardhan%20et%20al._Scientific%20Reports%20%282019%29.pdf.jpg?sequence=4&isAllowed=y)
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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.
Date issued
2019-03Department
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 MITJournal
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
ISSN
2045-2322