A deep learning, cloud-based API that can read lateral flow test results beyond the human visible spectrum.
Assists users and health professionals to perform diagnostic tests and share results. Available as an Android, iOS or web application.
Test To Go by Excalibur Healthcare Services reads Excalibur Rapid SARS-CoV-2 Antigen Test results rapidly, reliably and accurately.
A significant proportion of positive cases that were previously missed by users or trained lateral flow test readers were detected by MagnifEye. At Assisted Testing Sites (ATSs) the algorithm identified 24.4% of true positive tests that were missed by trained operators.
Ongoing use of this algorithm is anticipated to support the Government in identifying positive cases with low viral loads which might otherwise be missed via human read and improve objective reading of tests by supporting the visually impaired or anxious in interpretation of their COVID lateral flow results.
Reduces the variability, subjectivity and possible error associated with manual, unassisted image reading.
Analysis of large image datasets may help inform disease and public health management.
Results are returned in under 2 seconds, and available for analysis immediately, improving user adoption and supporting decision making.
Data is encrypted and securely held in the cloud with robust cyber security.