Memorias de investigación
Research Publications in journals:
Automated Low-Cost Smartphone-Based Lateral Flow Saliva Test Reader for Drugs-of-Abuse Detection
Year:2015

Research Areas
  • Engineering,
  • Recognition of patterns,
  • Computer vision

Information
Abstract
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.
International
Si
JCR
Si
Title
Sensors-Basel
ISBN
1424-8220
Impact factor JCR
2,245
Impact info
Datos JCR del año 2014
Volume
15
10.3390/s151129569
Journal number
From page
29569
To page
29593
Month
SIN MES
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial