Reference : Automated low-cost smartphone-based lateral flow saliva test reader for drugs-of-abus...
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/45789
Automated low-cost smartphone-based lateral flow saliva test reader for drugs-of-abuse detection
English
Carrio, Adrian []
Sampedro, Carlos []
Sanchez Lopez, Jose Luis mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Pimienta, Miguel []
Campoy, Pascual []
Nov-2015
Sensors
MDPI
15
11
29569--29593
Yes (verified by ORBilu)
International
1424-8220
[en] Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator, introducing subjectivity and the possibility of errors in the extraction of the results. While automated test readers providing a result-consistent solution are widely available, they usually lack portability. In this paper, we present a smartphone-based automated reader for drug-of-abuse lateral flow assay tests, consisting of an inexpensive light box and a smartphone device. Test images captured with the smartphone camera are processed in the device using computer vision and machine learning techniques to perform automatic extraction of the results. A deep validation of the system has been carried out showing the high accuracy of the system. The proposed approach, applicable to any line-based or color-based lateral flow test in the market, effectively reduces the manufacturing costs of the reader and makes it portable and massively available while providing accurate, reliable results.
http://hdl.handle.net/10993/45789
10.3390/s151129569

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