Advancing diagnostic efficacy using a computer vision-assisted lateral flow assay for influenza and SARS-CoV-2 detection

Lateral flow assays (LFAs) have emerged as indispensable tools for point-of-care testing during the pandemic era. However, the interpretation of results through unassisted visual inspection by untrained individuals poses inherent limitations. In our study, we propose a novel approach that combines c...

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Veröffentlicht in:	Analyst (London) 2023-11, Vol.148 (23), p.61-61
Hauptverfasser:	Lee, Seungmin, Yoo, Yong Kyoung, Han, Sung Il, Lee, Dongho, Cho, Sung-Yeon, Park, Chulmin, Lee, Dongtak, Yoon, Dae Sung, Lee, Jeong Hoon
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Assaying Computer vision Effectiveness Influenza Machine learning Point of care testing Sensitivity analysis Sensitivity enhancement Severe acute respiratory syndrome coronavirus 2
Online-Zugang:	Volltext
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