AI Article Synopsis
- Point-of-care (POC) diagnostics, particularly lateral flow assays (LFA), enable fast, accurate, and affordable disease diagnosis, which is especially crucial during the COVID-19 pandemic.
- Leveraging smartphones as biosensors can create accessible and portable platforms for health monitoring in remote or low-resource areas.
- The proposed open-source smartphone-based system for quantitative LFA analysis includes a 3D-printed photo box and customizable R Shiny software, offering a cost-effective solution for diagnostics during pandemics and in underserved regions.
Article Abstract
Point-of-care (POC) diagnostics, in particular lateral flow assays (LFA), represent a great opportunity for rapid, precise, low-cost and accessible diagnosis of disease. Especially with the ongoing coronavirus disease 2019 (COVID-19) pandemic, rapid point-of-care tests are becoming everyday tools for identification and prevention. Using smartphones as biosensors can enhance POC devices as portable, low-cost platforms for healthcare and medicine, food and environmental monitoring, improving diagnosis and documentation in remote, low-resource locations. We present an open-source, all-in-one smartphone-based system for quantitative analysis of LFAs. It consists of a 3D-printed photo box, a smartphone for image acquisition, and an R Shiny software package with modular, customizable analysis workflow for image editing, analysis, data extraction, calibration and quantification of the assays. This system is less expensive than commonly used hardware and software, so it could prove very beneficial for diagnostic testing in the context of pandemics, as well as in low-resource countries.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947044 | PMC |
| http://dx.doi.org/10.3390/diagnostics12030589 | DOI Listing |
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