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Published on: June 12, 2021
Multiplexed Ultrasound Imaging Using Spectral Analysis on Gas Vesicles
Sangnam Kim1, Siyuan Zhang2, Sangpil Yoon1
1Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
This study introduces multiplexed ultrasound imaging using gas vesicles (GVs) and mid-band fit (MBF) spectral imaging. This technique successfully distinguishes and visualizes different types of GVs, enabling precise cell localization in biological tissues.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Molecular Biology
Background:
- Ultrasound imaging advances with novel contrast agents like gas vesicles (GVs) offer precise visualization of biological tissues.
- Fluorescent proteins in optics allow for understanding molecular and cellular functions through multiplexed imaging.
Purpose of the Study:
- To investigate a panel of GVs using mid-band fit (MBF) spectral imaging for multiplexed ultrasound imaging.
- To uniquely visualize and distinguish the locations of different types of stationary GVs.
- To enable spatial localization of cells carrying GVs using distinct spectral signals.
Main Methods:
- Utilized mid-band fit (MBF) spectral imaging to analyze gas vesicles (GVs).
- Applied MBF spectral imaging to distinguish clustered from unclustered GVs in phantom and ex vivo liver samples.
- Reconstructed 2D MBF spectral images and classified pixels based on MBF values for cell localization.
Main Results:
- Demonstrated efficient localization and differentiation of stationary clustered GVs from unclustered GVs.
- Successfully visualized 3D vessel structures in ex vivo mouse liver specimens.
- Achieved clear distinction of spatial locations for cells carrying clustered and unclustered GVs via pseudo-coloring.
Conclusions:
- MBF spectral imaging enables multiplexed ultrasound visualization of distinct gas vesicle types.
- This technique allows for precise spatial mapping of cells labeled with different GVs.
- The developed method offers a novel approach for advanced cellular imaging and diagnostics.
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