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.

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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
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article

Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay

Wei Ren, Wenjiao Fan, Hui Tian, Zuhua Yu et al.
Advanced Science
Micro and Nano Robotics
article

Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay

Wei Ren, Wenjiao Fan, Hui Tian, Zuhua Yu, Chenghui Liu, Yuanyuan Sun, Jingjing Shi
article en

Abstract

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.

Advanced Science
Zhengzhou University (CN), First Affiliated Hospital of Zhengzhou University (CN), Shaanxi Normal University (CN)
Reduced inequalities
Openalex Percentile: Top 46%
Micro and Nano Robotics
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Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay — Wei Ren, Wenjiao Fan, et al. · Advanced Science (2026) | TGRS Research Map | TGRS