A hyperspectral method to assay the microphysiological fates of nanomaterials in histological samples.

Journal Article (Journal Article)

Nanoparticles are used extensively as biomedical imaging probes and potential therapeutic agents. As new particles are developed and tested in vivo, it is critical to characterize their biodistribution profiles. We demonstrate a new method that uses adaptive algorithms for the analysis of hyperspectral dark-field images to study the interactions between tissues and administered nanoparticles. This non-destructive technique quantitatively identifies particles in ex vivo tissue sections and enables detailed observations of accumulation patterns arising from organ-specific clearance mechanisms, particle size, and the molecular specificity of nanoparticle surface coatings. Unlike nanoparticle uptake studies with electron microscopy, this method is tractable for imaging large fields of view. Adaptive hyperspectral image analysis achieves excellent detection sensitivity and specificity and is capable of identifying single nanoparticles. Using this method, we collected the first data on the sub-organ distribution of several types of gold nanoparticles in mice and observed localization patterns in tumors.

Full Text

Duke Authors

Cited Authors

  • SoRelle, ED; Liba, O; Campbell, JL; Dalal, R; Zavaleta, CL; de la Zerda, A

Published Date

  • August 2016

Published In

Volume / Issue

  • 5 /

Start / End Page

  • e16352 -

PubMed ID

  • 27536877

Pubmed Central ID

  • PMC5042654

Electronic International Standard Serial Number (EISSN)

  • 2050-084X

International Standard Serial Number (ISSN)

  • 2050-084X

Digital Object Identifier (DOI)

  • 10.7554/elife.16352


  • eng