Integrated Rapid-Diagnostic-Test Reader Platform on a Cellphone

By O. Mudanyali, Stoyan Dimitrov, U. Sikora, Swati Padmanabhan, I. Navruz, Aydogan Ozcan. Lab on a Chip, 2012

409 citations recorded by the source corpus.

We demonstrate a cellphone based Rapid-Diagnostic-Test (RDT) reader platform that can work with various lateral flow immuno-chromatographic assays and similar tests to sense the presence of a target analyte in a sample. This compact and cost-effective digital RDT reader, weighing only ~65 grams, mechanically attaches to the existing camera unit of a cellphone, where various types of RDTs can be inserted to be imaged in reflection or transmission modes under light-emitting-diode (LED) based illumination. Captured raw images of these tests are then digitally processed (within less than 0.2 sec/image) through a smart application running on the cellphone for validation of the RDT as well as for automated reading of its diagnostic result. The same smart application running on the cellphone then transmits the resulting data, together with the RDT images and other related information (e.g., demographic data) to a central server, which presents the diagnostic results on a world-map through geo-tagging. This dynamic spatio-temporal map of various RDT results can then be viewed and shared using internet browsers or through the same cellphone application. We tested this platform using malaria, tuberculosis (TB) as well as HIV RDTs by installing it on both Android based smart-phones as well as an iPhone. Providing real-time spatio-temporal statistics for the prevalence of various infectious diseases, this smart RDT reader platform running on cellphones might assist health-care professionals and policy makers to track emerging epidemics worldwide and help epidemic preparedness.

Subfields: Biomedical Engineering, Infectious Diseases, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/20bb16cbaa2faecde74f8ba2b79859f10eb183e4

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In Biomedical Engineering

In Infectious Diseases

Leslie Y. Yeo

In Molecular Biology

Citations in the corpus

Image analysis and machine learning for detecting malaria (2018, background): “demonstrated a cellphone-based RDT reader platform that can work with various lateral flow immuno-chromatographic assays and similar tests.(172) Their compact and cost-effective digital RDT reader attaches to the existing camera unit of a cellphone, where RDTs can be inserted to be imaged.”
Advances in paper-based point-of-care diagnostics. (2014, neutral): “3C) (Mudanyali et al., 2012).”
Smartphone based bacterial detection using biofunctionalized fluorescent nanoparticles (2014, background): “Ozcan research group has demonstrated a prototype diagnostic test device on android platform for rapid detection of gold nanoparticles signal in LFIA [20].”
Immunochromatographic methods in food analysis (2014, background): “Some recent publications suggested that it is better to use commercially-producedmobile devices with built-in cameras than to rely on visual detection of color changes on test strips [80–82].”
Emerging Technologies for Next-Generation Point-of-Care Testing. (2015, positive): “The current trend has shifted significantly toward highly precise quantification using CP-based image analysis [3], as exemplified by a compact and lightweight integrated rapid diagnostic test reader (Figure 1A) [18].”
A simple and compact smartphone accessory for quantitative chemiluminescence-based lateral flow immunoassay for salivary cortisol detection. (2015, background): “Recent papers have shown it is possible to use a smartphone as a detector for a colorimetric LFIA method (Mudanyali et al., 2012; Sangdae et al., 2013).”