ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Real-Time Digital Micromotor Tracking-Enabled Ultrasensitive Immunoassay.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.