Artificial intelligence reinforced upconversion nanoparticle-based lateral flow assay via transfer learning.

ABSTRACT: The combination of upconverting nanoparticles (UCNPs) and immunochromatography has become a widely used and promising new detection technique for point-of-care testing (POCT). However, their low luminescence efficiency, non-specific adsorption, and image noise have always limited their progress toward practical applications. Recently, artificial intelligence (AI) has demonstrated powerful representational learning and generalization capabilities in computer vision. We report for the first time a combination of AI and upconversion nanoparticle-based lateral flow assays (UCNP-LFAs) for the quantitative detection of commercial internet of things (IoT) devices. This universal UCNPs quantitative detection strategy combines high accuracy, sensitivity, and applicability in the field detection env

SUBMITTER: Wang W 

PROVIDER: S-EPMC11197505 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature