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dc.contributor.authorEscobedo Araque, Pablo 
dc.contributor.authorErenas Rodríguez, Miguel María 
dc.contributor.authorMartínez Olmos, Antonio 
dc.contributor.authorCarvajal Rodríguez, Miguel Ángel 
dc.contributor.authorTabraue Chávez, Mavys
dc.contributor.authorLuque González, Angélica
dc.contributor.authorDíaz Mochón, Juan José 
dc.contributor.authorPernagallo, Salvatore
dc.contributor.authorCapitán Vallvey, Luis Fermín 
dc.contributor.authorPalma López, Alberto José 
dc.date.accessioned2020-02-13T10:52:32Z
dc.date.available2020-02-13T10:52:32Z
dc.date.issued2019-12-20
dc.identifier.citationEscobedo, P., Erenas, M. M., Olmos, A. M., Carvajal, M. A., Chávez, M. T., González, M. A. L., ... & Palma, A. J. (2019). Smartphone-based diagnosis of parasitic infections with colorimetric assays in centrifuge tubes. IEEE Access, 7, 185677-185686.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/59642
dc.description.abstractA smartphone-based platform for the diagnosis of parasitic infections has been developed, tested and validated. The system is capable of making automatic and accurate analysis of millimetric colorimetric arrays in centrifuge collection tubes, which are well established tools used in clinical analysis. To that end, an Android-based software application has been developed, making use of the smartphone rear camera, enabling precise image processing of the colorimetric spot arrays. A low-cost plastic accessory has been developed using 3D-printing to provide controlled illumination, xed sample positioning and cell phone attachment. The platform was then tested repeatedly for its size detection, edge blurriness and colour detection capabilities. A minimum spot radius of 175 m is detectable when using the developed app, with a tolerance of 15%, corresponding to 0.25%of the area where the spot array is printed. Spot edge de nition has been studied up to 40% of blurriness, resulting in a low average percentage error of 1.24%. Colour detection follows the well-known Gamma correction function. Finally, the whole platform was tested and validated using real DNA to analyse for accurate discrimination of Trypanosomatid species, which are responsible for devastating diseases in humans and livestock. The smartphone-based platform can be further extended to other clinical analysis. Its simplicity and reliable performance mean it can be used in remote, limited-resource settings by relatively unskilled technicians/nurses, where diagnostic laboratories are sparsely distributed. The results can however be sent easily via the smartphone to medical experts as well as government health agencies.es_ES
dc.description.sponsorshipThis work was supported in part by the Spanish Ministry of Economics and Competitivity under Project CTQ2016-78754-C2-1-R, in part by the European Regional Development Fund (ERDF), and in part by the DestiNA Genomica SL provided reagents, samples and Spin-Tube devices. The work of P. Escobedo was supported by the Spanish Ministry of Education, Culture and Sport (MECD), under Grant (FPU13/05032).es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSmartphone-based platformes_ES
dc.subjectParasitic diseases es_ES
dc.subjectColorimetric assayes_ES
dc.subjectImage processing es_ES
dc.subjectDiagnosis es_ES
dc.titleSmartphone-Based Diagnosis of Parasitic Infections With Colorimetric Assays in Centrifuge Tubeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1109/ACCESS.2019.2961230


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Atribución 3.0 España
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