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Author Notes:

Correspondence: hjiang1@usf.edu; Tel.: +1-813-974-5253.

X.D. designed and built the device and the system, performed experiments, analyzed the data, and wrote the paper.

W.Q. and L.Y. prepared the samples and animals.

H.Y. helped with the analysis of the data.

H.J. directed and supervised the project, and wrote the paper.

The idea originated from the discussion between X.D. and H.J.

The authors declare no conflict of interest.


Research Funding:

This research was supported in part by funds from the University of South Florida.


  • Science & Technology
  • Physical Sciences
  • Technology
  • Chemistry, Multidisciplinary
  • Materials Science, Multidisciplinary
  • Physics, Applied
  • Chemistry
  • Materials Science
  • Physics
  • photoacoustic imaging
  • fluorescence imaging
  • multifunctional nanoparticles
  • pancreatic cancer
  • molecular imaging
  • multimodal endoscopy
  • PET

Targeted Molecular Imaging of Pancreatic Cancer with a Miniature Endoscope


Journal Title:

Applied Sciences


Volume 7, Number 12


, Pages 1241-1241

Type of Work:

Article | Final Publisher PDF


It is highly desirable to develop novel approaches to improve patient survival rate of pancreatic cancer through early detection. Here, we present such an approach based on photoacoustic and fluorescence molecular imaging of pancreatic tumor using a miniature multimodal endoscope in combination with targeted multifunctional iron oxide nanoparticles (IONPs). A novel fan-shaped scanning mechanism was developed to minimize the invasiveness for endoscopic imaging of pancreatic tumors. The results show that the enhancements in photoacoustic and fluorescence signals using amino-terminal fragment (ATF) targeted IONPs were ~four to six times higher compared to that using non-targeted IONPs. Our study indicates the potential of the combination of the multimodal photoacoustic-fluorescence endoscopy and targeted multifunctional nanoparticles as an efficient tool to provide improved specificity and sensitivity for pancreatic cancer detection.

Copyright information:

© 2017 by the authors.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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