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The cultivation of environmental microorganisms has long been hindered by the inability to replicate complex native conditions in vitro. The isolation chip (iChip) addresses this limitation by facilitating the growth of previously uncultivable microorganisms through in situ incubation. Designed for high-throughput microbial cultivation, the iChip comprises hundreds of microchambers, each capable of housing a single microbial cell. These microchambers are loaded with a mixture of molten agar and...

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Related Experiment Video

Updated: May 4, 2026

Microstructured Devices for Optimized Microinjection and Imaging of Zebrafish Larvae

Microstructured Devices for Optimized Microinjection and Imaging of Zebrafish Larvae

Published on: December 8, 2017

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

This summary is machine-generated.

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.

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Last Updated: May 4, 2026

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Published on: June 23, 2022

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.