Automated Low-Cost Smartphone-Based Lateral Flow Saliva Test Reader for Drugs-of-Abuse Detection

Sensors

Adrian Carrio¹  Carlos Sampedro¹  Jose Luis Sanchez-Lopez¹  Miguel Pimienta²  Pascual Campoy¹ 

[1] Computer Vision Group, Centre for Automation and Robotics (UPM-CSIC), Calle José Gutiérrez Abascal 2, Madrid 28006, Spain; E-Mails:;Aplitest Health Solutions, Paseo de la Castellana 164, Madrid 28046, Spain; E-Mail:

关键词: smartphone;    drugs-of-abuse;    diagnostics;    computer vision;    machine learning;    neural networks;   

DOI  :  10.3390/s151129569

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.