Publication

Prussian blue nanocubes as a multimodal contrast agent for image-guided stem cell therapy of the spinal cord

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Last modified
  • 05/20/2025
Type of Material
Authors
    Kelsey P. Kubelick, Georgia Institute of TechnologyStanislav Emelianov, Emory University
Language
  • English
Date
  • 2020-06-01
Publisher
  • Elsevier GmbH
Publication Version
Copyright Statement
  • © 2020 The Authors.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 18
Start Page
  • 100166
End Page
  • 100166
Grant/Funding Information
  • This work was supported in part by the grants from the National Institutes of Health (EB015007 and EY030071).
  • This work was performed in part at Georgia Tech’s Institute for Electronics and Nanotechnology, a member of the National Nanotechnology Coordinated Infrastructure, which is supported by the National Science Foundation (grant no. ECCS-1542174).
Supplemental Material (URL)
Abstract
  • Translation of stem cell therapies to treat injuries and diseases of the spinal cord is hindered by lack of real-time monitoring techniques to guide regenerative therapies intra- and postoperatively. Thus, we developed an ultrasound (US), photoacoustic (PA), and magnetic resonance (MR) imaging approach augmented with Prussian blue nanocubes (PBNCs) to guide stem cell injections intraoperatively and monitor stem cell therapies in the spinal cord postoperatively. Per the clinical procedure, a multi-level laminectomy was performed in rats ex vivo, and PBNC-labeled stem cells were injected directly into the spinal cord while US/PA images were acquired. US/PA/MR images were also acquired post-surgery. Several features of the imaging approach were demonstrated including detection of low stem cell concentrations, real-time needle guidance and feedback on stem cell delivery, and good agreement between US/PA/MR images. These benefits span intra- and postoperative environments to support future development of this imaging tool.
Author Notes
  • Correspondence: Stanislav Y. Emelianov, School of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Drive, Atlanta, GA, 30332, USA. stas@gatech.edu
Keywords
Research Categories
  • Engineering, Biomedical
  • Biology, Cell
  • Engineering, Electronics and Electrical

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