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. Author manuscript; available in PMC: 2023 Apr 7.
Published in final edited form as: Sens Diagn. 2022;1(3):465–468. doi: 10.1039/d2sd00038e

Fig. 1. Performance of the multiplex LAMP assay using the ACA machine-learning based method in real-time digital LAMP.

Fig. 1

(A) Visualisation of the similarity of real-time LAMP amplification curves using the uniform manifold approximation and projection algorithm. (B) Confusion matrix showing prediction performance of ACA for each of the selected targets in the 5plex-LAMP: human influenza A virus (IAV), human influenza B virus (IBV), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human adenovirus (hAdV) and Klebsiella pneumoniae (KP).