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  2. Size-tunable ICG-based contrast agent platform for targeted near-infrared photoacoustic imaging

Size-tunable ICG-based contrast agent platform for targeted near-infrared photoacoustic imaging

  • Photoacoustics. 2022 Dec 11:29:100437. doi: 10.1016/j.pacs.2022.100437.
Shrishti Singh 1 Giovanni Giammanco 1 Chih-Hsiang Hu 1 Joshua Bush 1 Leandro Soto Cordova 1 Dylan J Lawrence 2 Jeffrey L Moran 1 3 Parag V Chitnis 1 4 Remi Veneziano 1 5
Affiliations

Affiliations

  • 1 Department of Bioengineering, George Mason University, Fairfax, VA 22030, USA.
  • 2 PhotoSound Technologies Inc., Houston, TX 77036, USA.
  • 3 Department of Mechanical Engineering, George Mason University, Fairfax, VA 22030, USA.
  • 4 Center for Adaptive Systems for Brain-body Interactions, George Mason University, Fairfax, VA 22030, USA.
  • 5 Institute for Advanced Biomedical Research, George Mason University, Manassas, VA 20110, USA.
Abstract

Near-infrared photoacoustic imaging (NIR-PAI) combines the advantages of optical and ultrasound imaging to provide anatomical and functional information of tissues with high resolution. Although NIR-PAI is promising, its widespread use is hindered by the limited availability of NIR contrast agents. J-aggregates (JA) made of indocyanine green dye (ICG) represents an attractive class of biocompatible contrast agents for PAI. Here, we present a facile synthesis method that combines ICG and ICG-azide dyes for producing contrast agents with tunable size down to 230 nm and direct functionalization with targeting moieties. The ICG-JA platform has a detectable PA signal in vitro that is two times stronger than whole blood and high photostability. The targeting ability of ICG-JA was measured in vitro using HeLa cells. The ICG-JA platform was then injected into mice and in vivo NIR-PAI showed enhanced visualization of liver and spleen for 90 min post-injection with a contrast-to-noise ratio of 2.42.

Keywords

Contrast agent; Imaging probe; Indocyanine green (ICG); J-aggregates (JA); Photoacoustic imaging (PAI).

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