A hyperspectral method to assay the microphysiological fates of nanomaterials in histological samples
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 18, 2016
- Source ID
- 10.7554/elife.16352
Entities
People
- Adam De La Zerda
- Cristina L Zavaleta
- Elliott D SoRelle
- Jos L Campbell
- Orly Liba
- Roopa Dalal
Organizations
- Damon Runyon Cancer Research Foundation
- Donald E. and Delia B. Baxter Foundation
- Mary Kay Foundation
- National Cancer Institute
- National Institutes of Health
- National Science Foundation
- Stanford University
- Susan G. Komen for the Cure
- United States Air Force