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Published on: June 12, 2021
Super-Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
Junlin Chen1, Xiaoyu Wang1, Jilin Fan2,3
1Institute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Researchers developed a nanobubble (NB) acoustic labeling strategy for ultrasound localization microscopy (ULM). This method enables precise, single-cell tracking of transplanted cells in tumors, advancing cell therapy monitoring.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Nanotechnology
Background:
- Tracking transplanted cells in vivo is crucial for cell-based therapy development and monitoring.
- Current methods face challenges in achieving single-cell resolution and precise localization.
Purpose of the Study:
- To develop a novel nanobubble (NB)-based acoustic labeling strategy for ultrasound localization microscopy (ULM).
- To enable real-time, super-resolution tracking of transplanted cells within tumors.
- To identify the specific vasculature responsible for cell delivery.
Main Methods:
- Development of stable, biocompatible poly(butyl cyanoacrylate) nanobubbles (NBs) for intracellular uptake.
- Utilizing ultrasound localization microscopy (ULM) for real-time visualization and trajectory reconstruction of NB-labeled cells.
- Integration of cell trajectory data with super-resolution vascular maps.
Main Results:
- Nanobubbles (NBs) were efficiently internalized by cells, generating strong intracellular ultrasound signals.
- ULM successfully visualized and tracked individual NB-labeled bone marrow-derived mononuclear cells in murine breast cancer models.
- NB labeling allowed for the identification of specific blood vessels responsible for cell delivery, while unlabeled cells were undetectable.
Conclusions:
- The NB-based acoustic labeling strategy enables precise, single-cell scale tracking of transplanted cells in vivo.
- This clinically compatible imaging approach expands ULM applications beyond vascular mapping.
- Provides a platform for dynamic, high-resolution monitoring of cell-based therapies.
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