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Deep learning-enabled ratiometric signal transduction for portable and intelligent colorimetric LAMP biosensing of Vibrio vulnificus
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J
DOI：10.1016/j.ab.2026.116136.png)
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Abstract
En 中文
• A deep-learning, portable LAMP platform was developed for the automated detection of Vibrio vulnificus. • Integration of molecular diagnostics and AI interpretation in a device costing < USD 1000. • Rapid and high-throughput detection of five samples within 30 min using minimal sample volume (5 μL). • AI-assisted signal interpretation extends the detectable concentration range of colorimetric LAMP to 10-5 ng/μL, with detection time dependent on target concentration. • Robust quantitative capability enabled by a CNN framework with R2 = 0.915.
Keywords:
Deep learning
LAMP biosensing
Vibrio vulnificus
Colorimetric detection
Portable diagnostics
Journal
IF:
2.5
Papers:
272
Citations:
3.3W
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