Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay

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Authors: Jingjing Shi, Zuhua Yu, Hui Tian, Wenjiao Fan, Yuanyuan Sun, Wei Ren, Chenghui Liu
Cited by: 2
References: 33

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.

Fields of Study & Subjects

Micro and Nano Robotics Microfluidic and Bio-sensing Technologies Piezoelectric Actuators and Control

Publication details

Journal / source
Advanced Science
Publisher
Wiley
Volume
13
Issue
25
Pages
e21243–e21243
Publication date
21 February 2026
Language
EN