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Next-generation in vivo optical imaging with short-wave infrared quantum dots

  • Oliver T. Bruns
  • , Thomas S. Bischof
  • , Daniel K. Harris
  • , Daniel Franke
  • , Yanxiang Shi
  • , Lars Riedemann
  • , Alexander Bartelt
  • , Frank B. Jaworski
  • , Jessica A. Carr
  • , Christopher J. Rowlands
  • , Mark W.B. Wilson
  • , Ou Chen
  • , He Wei
  • , Gyu Weon Hwang
  • , Daniel M. Montana
  • , Igor Coropceanu
  • , Odin B. Achorn
  • , Jonas Kloepper
  • , Joerg Heeren
  • , Peter T.C. So
  • Dai Fukumura, Klavs F. Jensen, Rakesh K. Jain, Moungi G. Bawendi
  • Massachusetts Institute of Technology
  • Massachusetts General Hospital
  • Universitätsklinikum Heidelberg
  • Harvard T.H. Chan School of Public Health
  • Raytheon
  • University of Toronto
  • Brown University
  • Korea Inst. of Sci. and Technology
  • Centre Hospitalier Universitaire Vaudois
  • Universitätsklinikum Hamburg-Eppendorf

Research output: Contribution to journalArticlepeer-review

601 Scopus citations

Abstract

For in vivo imaging, the short-wavelength infrared region (SWIR; 1,000-2,000 nm) provides several advantages over the visible and near-infrared regions: general lack of autofluorescence, low light absorption by blood and tissue, and reduced scattering. However, the lack of versatile and functional SWIR emitters has prevented the general adoption of SWIR imaging by the biomedical research community. Here, we introduce a class of high-quality SWIR-emissive indium-arsenide-based quantum dots that are readily modifiable for various functional imaging applications, and that exhibit narrow and size-tunable emission and a dramatically higher emission quantum yield than previously described SWIR probes. To demonstrate the unprecedented combination of deep penetration, high spatial resolution, multicolour imaging and fast acquisition speed afforded by the SWIR quantum dots, we quantified, in mice, the metabolic turnover rates of lipoproteins in several organs simultaneously and in real time as well as heartbeat and breathing rates in awake and unrestrained animals, and generated detailed three-dimensional quantitative flow maps of the mouse brain vasculature.

Original languageEnglish
Article number0056
JournalNature Biomedical Engineering
Volume1
Issue number4
DOIs
StatePublished - 10 Apr 2017
Externally publishedYes

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