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Health·G Space·Evidence-backed gain·Published 2026-09-21

Smartphone AI-Enabled Lateral Flow Immunoassay Platform Using Advanced Quantum Dots for Intelligent Quantitative Diagnostics

Abstract: Lateral flow immunoassays (LFIAs) are widely used in point-of-care diagnostics for their low cost and simplicity, but conventional formats rely on subjective visual readout and lack quantitative accuracy and sensitivity. Here, we present a smartphone-guided, artificial-intelligence-enhanced LFIA platform that unites a rationally engineered dual-modal nanoprobe with on-device machine learning, demonstrated for quantitative detection of Rift Valley fever virus (RVFV). The platform combines three synergistic princi…

TRV-2026-1156Peer-reviewedPermanent record — cite & verify
Smartphone AI-Enabled Lateral Flow Immunoassay Platform Using Advanced Quantum Dots for Intelligent Quantitative Diagnostics

Hospital Universitari Doctor Peset, València 02 by 19Tarrestnom65. CC BY-SA 4.0 · https://creativecommons.org/licenses/by-sa/4.0

The quick read

Lateral flow immunoassays (LFIAs) are widely used in point-of-care diagnostics for their low cost and simplicity, but conventional formats rely on subjective visual readout and lack quantitative accuracy and sensitivity. Here, we present a smartphone-guided, artificial-intelligence-enhanced LFIA platform that unites a rationally engineered dual-modal nanoprobe with on-device machine learning, demonstrated for quantitative detection of Rift Valley fever virus (RVFV).

By coupling dual-modal amplification and magnetic enrichment with AI-driven analysis on widely available hardware, the AQD-LFIA platform offers a scalable route toward next-generation point-of-care and at-home diagnostics.

Main points
  • Lateral flow immunoassays (LFIAs) are widely used in point-of-care diagnostics for their low cost and simplicity, but conventional formats rely on subjective visual readout and lack quantitative accuracy and sensitivity.
  • Here, we present a smartphone-guided, artificial-intelligence-enhanced LFIA platform that unites a rationally engineered dual-modal nanoprobe with on-device machine learning, demonstrated for quantitative detection of Rift Valley fever virus (RVFV).
  • The platform combines three synergistic principles: advanced magnetic quantum dot nanoparticles (AQDs) that integrate a magnetic core and a quantum dot shell in a single label to provide both colorimetric and fluorescence signals while enabling magnetic preconcentration of the target antigen; multi-illumination imaging that turns an ordinary smartphone camera into a quantitative reader; and a machine-learning model that extracts illumination-robust features to convert signal into concentration, removing user subjectivity and lighting sensitivity.
Gain

Smartphone AI-Enabled Lateral Flow Immunoassay Platform Using Advanced Quantum Dots for Intelligent Quantitative Diagnostics: Lateral flow immunoassays (LFIAs) are widely used in point-of-care diagnostics for their low cost and simplicity, but conventional formats rely on subjective visual readout and lack quantitative accuracy and sensitivity.

The rundown

The platform combines three synergistic principles: advanced magnetic quantum dot nanoparticles (AQDs) that integrate a magnetic core and a quantum dot shell in a single label to provide both colorimetric and fluorescence signals while enabling magnetic preconcentration of the target antigen; multi-illumination imaging that turns an ordinary smartphone camera into a quantitative reader; and a machine-learning model that extracts illumination-robust features to convert signal into concentration, removing user subjectivity and lighting sensitivity. This design markedly improves sensitivity over conventional gold-nanosphere LFIA in both modes, enables reliable quantification directly in serum without any pretreatment, and outperforms naked-eye interpretation in blind testing.

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