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Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors
Dang Zhang1, Liang Lin2, Chao Deng3
1State Key Laboratory of Advanced Inorganic Fibers and Composites, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China.
Cyborg and Bionic Systems (Washington, D.C.)
|September 12, 2025
Summary
Micro/nanomotors (MNMs) enhance biological imaging sensitivity and real-time tracking capabilities. This review details MNM mechanisms, multimodal applications, and AI integration for advanced precision imaging.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Nanotechnology
Background:
- Biological imaging advances tissue analysis but faces depth and resolution limits.
- Micro/nanomotors (MNMs) offer autonomous propulsion for dynamic imaging solutions.
Purpose of the Study:
- To systematically analyze MNM mechanisms and challenges in bioimaging.
- To explore MNM applications in single-modal and multimodal imaging.
- To discuss AI-driven MNMs for precision imaging.
Main Methods:
- Summarizing signal-enhancement mechanisms of MNMs in single-modal imaging.
- Exploring multimodal imaging applications via MNM-probe design.
- Discussing artificial intelligence integration for intelligent MNMs.
Main Results:
- MNMs act as dynamic contrast agents, enhancing sensitivity through motion-amplified signal modulation.
- MNMs enable real-time tracking of subcellular events and microenvironmental changes.
- MNMs show potential for advancing ultrasound, fluorescence, photoacoustic, and MRI.
Conclusions:
- MNMs represent a transformative technology for overcoming limitations in traditional bioimaging.
- Further research into MNM design and AI integration can unlock precision imaging capabilities.
- This review provides a framework and roadmap for MNM-mediated bioimaging.
