Deep-tissue optical imaging of near cellular-sized features

Sci Rep. 2019 Mar 7;9(1):3873. doi: 10.1038/s41598-019-39502-w.

Abstract

Detection of biological features at the cellular level with sufficient sensitivity in complex tissue remains a major challenge. To appreciate this challenge, this would require finding 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 autofluorescence and scattering. To date, the maximum reported depth using second-window near-infrared (NIR-II: 1000-1700 nm) fluorophores is 3.2 cm through tissue. Here, we design an NIR-II imaging system, "Detection of Optically Luminescent Probes using Hyperspectral and diffuse 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) identification of spectral and scattering signatures of tissues without a priori knowledge of background or autofluorescence; and (iii) 3D reconstruction of live whole animals. Notably, we demonstrate noninvasive real-time tracking of a 0.1 mm-sized fluorophore through the gastrointestinal tract of a living mouse, which is beyond the detection limit of current imaging modalities.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue / diagnostic imaging
  • Algorithms
  • Animals
  • Brain / diagnostic imaging
  • Breast / diagnostic imaging
  • Cattle
  • Equipment Design
  • Fluorescent Dyes
  • Gastrointestinal Tract / diagnostic imaging
  • Humans
  • Imaging, Three-Dimensional / instrumentation
  • Imaging, Three-Dimensional / methods
  • Mice, Nude
  • Muscles / diagnostic imaging
  • Optical Imaging / instrumentation*
  • Optical Imaging / methods*
  • Phantoms, Imaging
  • Skin / diagnostic imaging

Substances

  • Fluorescent Dyes

Associated data

  • Dryad/10.5061/dryad.dr7d18t