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Updated: Jun 12, 2026

Harmonic Nanoparticles for Regenerative Research
09:23

Harmonic Nanoparticles for Regenerative Research

Published on: May 1, 2014

Cell tracking using nanoparticles.

Dennis E Vaccaro1, Meiheng Yang, James S Weinberg

  • 1BioPhysics Assay Laboratory, Inc, 80 Webster St, Worcester, MA 01603, USA. dev@biopal.com

Journal of Cardiovascular Translational Research
|June 19, 2010
PubMed
Summary

New stable-isotope metal-labeled nanoparticles enable versatile tracking of cells for regenerative medicine and biodistribution studies. This method allows for precise quantification of cells in tissues using multiple imaging and detection technologies.

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Area of Science:

  • Regenerative Medicine
  • Cell Therapy
  • Nanotechnology
  • Preclinical Studies

Background:

  • Accurate cell tracking is crucial for advancing regenerative medicine, optimizing cell delivery, and conducting biodistribution studies.
  • Current cell tracking methods may have limitations in sensitivity or versatility for preclinical research.

Purpose of the Study:

  • To describe novel nanoparticles for stable-isotope metal labeling of cells.
  • To demonstrate the utility of these nanoparticles for multimodal detection and quantification in preclinical settings.

Main Methods:

  • Development of nanoparticles with stable-isotope metal labels.
  • Labeling of cells with these nanoparticles.
  • Imaging of labeled cells using electron microscopy, fluorescence, and magnetic resonance.

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Last Updated: Jun 12, 2026

Harmonic Nanoparticles for Regenerative Research
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  • Quantification of labeled cells in tissue samples via neutron activation analysis.
  • Main Results:

    • Demonstrated successful labeling of cells with nanoparticles.
    • Confirmed multimodal imaging capabilities (electron microscopy, fluorescence, magnetic resonance).
    • Established a method for quantifying labeled cells in vivo using neutron activation and standard curves.

    Conclusions:

    • Stable-isotope metal-labeled nanoparticles offer a versatile platform for tracking cells in regenerative medicine.
    • This technology supports advanced cell therapy science, cell delivery optimization, and biodistribution analysis.
    • The described methods enable accurate quantification of cells within tissue samples from preclinical studies.