Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay
Digital bioassays are emerging as a pivotal technology in disease prevention and diagnostics due to their single-molecule level detection capability. However, elaborate microchamber fabrication, high-end equipment, and skilled manipulation are required to enable the end - point digital signal readout. Herein, we propose a novel concept of artificial intelligence (AI)-facilitated real-time digital micromotor tracking-enabled immunoassay (AI-dMIA), which leverages a self-developed multi-microparticle tracking system to monitor micromotor motion trajectories in a real-time manner for digital protein analysis. In this design, even a single molecule-bridged immunobinding event on the fully-open microparticle's surface can induce obvious motion behaviors and trajectories, forming a positive micromotor that can be accurately tracked and discriminated from the negative ones in real time by a bright-field microscope integrated with the AI algorithm. The AI-dMIA gets rid of the complex process of microchamber fabrication and fluorescence signal yielding/amplification to generate digital counting events. It also exhibits powerful processing capacity to simultaneously track up to thousands of motor trajectories on a large scale, no longer requiring the high-end equipment that is essential to traditional end-point digital bioassays. The AI-dMIA not only demonstrates a robust immunosensing approach but also provides a new alternative for developing next-generation digital micromotor-based platforms.
Authors
- Wei Ren (ORCID: https://orcid.org/0000-0002-6537-6039)
- Wenjiao Fan
- Hui Tian (ORCID: https://orcid.org/0000-0002-4517-2776)
- Zuhua Yu
- Chenghui Liu
- Yuanyuan Sun (ORCID: https://orcid.org/0009-0005-8999-6880)
- Jingjing Shi
Institutions
- Zhengzhou University (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-02-21
- DOI
- https://doi.org/10.1002/advs.202521243
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00