2026-07-21T07:23:03Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/234602024-10-04T13:23:00Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967

00925njm 22002777a 4500 dc Russell, Steven M author Alba-Patiño, Alejandra author Vaquer, Andreu author Clemente, Antonio author de la Rica, Roberto author 2022-02-27 Measuring the colorimetric signals produced by the biospecific accumulation of colorimetric probes and recording the results is a key feature for next-generation paper-based rapid tests. Manual processing of these tests is time-consuming and prone to a loss of accuracy when interpreting faint and patchy signals. Proprietary, closed-source readers and software companies offering automated smartphone-based assay readings have both been criticized for interoperability issues. Here, we introduce a minimal reader prototype composed of open-source hardware and open-source software that has the benefits of automatic assay quantification while avoiding the interoperability issues associated with closed-source readers. An image-processing algorithm was developed to automate the selection of an optimal region of interest and measure the average pixel intensity. When used to quantify signals produced by lateral flow immunoassays for detecting antibodies against SARS-CoV-2, results obtained with the proposed algorithm were comparable to those obtained with a manual method but with the advantage of improving the precision and accuracy when quantifying small spots or faint and patchy signals. Russell SM, Alba-Patiño A, Vaquer A, Clemente A, de la Rica R. Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader. Sensors (Basel). 2022 Feb 27;22(5). 10.3390/s22051880 1424-8220 Sensors (Basel, Switzerland) http://hdl.handle.net/20.500.13003/18232 35271026 L637482698 2-s2.0-85125188882 https://hdl.handle.net/20.500.12105/23460 771167400001 Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader