| Oct 30, 2025 |
Intelligent nanomotors enhance precision and depth in biomedical imaging
Autonomous micro- and nanomotors improve image clarity, targeting, and multimodal performance across advanced biomedical imaging systems.
(Nanowerk News) Researchers are developing intelligent micro- and nanomotors (MNMs) that could redefine biomedical imaging. These self-propelled nanoscale systems move autonomously under magnetic, light, or chemical control, acting as active contrast agents that deliver stronger and more precise imaging signals than conventional materials.
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Traditional imaging techniques such as ultrasound, fluorescence, magnetic resonance, and photoacoustic imaging often struggle to achieve both high resolution and deep-tissue clarity. Signals weaken as they pass through biological layers, and passive contrast agents disperse unevenly. MNMs overcome these obstacles by converting external energy into directed motion, allowing them to navigate complex tissue environments and concentrate imaging probes at specific sites. This active delivery increases image contrast, resolution, and penetration depth.
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A recent review (Cyborg and Bionic Systems, "Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors") examined how MNMs improve performance across multiple imaging systems. In fluorescence imaging, they transport dyes or quantum dots to enhance brightness and reduce background interference, enabling real-time visualization of molecular interactions. For ultrasound applications, MNMs generate or trap microbubbles that amplify acoustic reflections and provide clearer images of deeper tissues.
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| Schematic illustration of micro- and nanomotors for bioimaging. (Image: Reprinted from DOI:10.34133/cbsystems.0384, CC BY) (click on image to enlarge)
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In magnetic resonance imaging, motors incorporating magnetic materials such as iron oxide or manganese achieve stronger contrast while remaining biocompatible. Photoacoustic imaging, which converts light into sound to map biological structures, benefits from MNMs coated with gold or other light-absorbing substances that strengthen acoustic signals and extend imaging depth.
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Beyond single-modality applications, MNMs can combine several imaging functions within one platform. This integration allows simultaneous observation of structure and function, enhancing diagnostic precision. The study also highlights how artificial intelligence can process complex MNM data to optimize image reconstruction and control motor motion with high accuracy.
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“These intelligent systems act as multifunctional platforms that connect diagnostic imaging with targeted therapy,” said the authors. Their autonomous propulsion ensures controlled navigation within living systems, while adaptive feedback mechanisms maintain signal stability in challenging biological conditions.
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Although results are promising, limitations persist. Signal loss increases in viscous tissues, and precise control becomes difficult at greater depths. The researchers note that future work will focus on improving motion control, biocompatibility, and degradability to prepare MNMs for clinical translation.
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According to the authors, integrating MNMs into imaging frameworks “will make bioimaging more effective, overcoming limits in spatial and temporal resolution and providing a foundation for next-generation diagnostic technologies.” The findings suggest that MNM-based imaging can be developed more efficiently and at lower cost than conventional approaches, supporting progress toward accessible, high-performance biomedical diagnostics.
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