MagnifEye increased sensitivity (the ability to identify positive tests correctly) to 97.6% and specificity (the ability to identify negative tests correctly) to 99.99% in reading lateral flow tests, as compared to a human reader.
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.
Supports self-testing with embedded training videos and questions.
Image capture software identifies the test and performs automated quality control for high quality images.
Algorithms read the test result beyond the human visible spectrum1 and return a result in <2 seconds.
Allows family and carers to upload and manage testing status for others in-app.
Digital COVID-19 status certificates to enable access to workplaces, venues, travel etc.
Test results can be transferred from laboratory direct to app.
Dashboard analytics provide enterprise-level oversight of individual and aggregated health status.
HCPs can use the app to perform high volume testing at multiple sites and to share the results quickly and securely to the test subject’s app and enterprise dashboard.
Organisations have a near real-time view of their employees’ results, helping them understand the status of cases at any point to implement and manage disease-control measures.
A team of experienced app developers and machine learning specialists can customise your branded app to specific test and data capture requirements.
Easy to follow instructions with visual guides help those who may otherwise find it difficult to take and read a test.
Advanced machine learning algorithm identifies and reads tests to a high degree of accuracy, excelling in real-world image capture conditions (e.g. poor lighting).
Data is domiciled in country of origin, encrypted and held in secure cloud storage with robust cyber security.
Fully compliant with standards
Developed under a quality management system certified to ISO13485:2016.
GDPR compliant, ensuring high level of protection for personal data.
ISO27001 certification to ensure information security and governance requirements are fully met.