Portable Raspberry Pi Platform for Automated Interpretation of Lateral Flow Strip Tests.

ABSTRACT: Paper-based rapid tests are widely used in point-of-care diagnostics due to their simplicity and low cost. However, their application in quantitative analysis remains limited. In this work, a nucleic acid lateral flow assay (NALFA) was integrated with an automated image acquisition system built on a Raspberry Pi platform for the quantitative detection of SARS-CoV-2 virus, increasing the accuracy of the test compared to subjective visual interpretation. The assay employed blue polystyrene microspheres as reporters, while automated image capturing, image processing and quantification were performed using custom Python software (version 3.12). Signal quantification was achieved by comparing the grayscale intensity of the test line with that of a simultaneously captured negative control strip,

SUBMITTER: Nakou N 

PROVIDER: S-EPMC12845611 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature