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Sensyne Health | Healthcare

AI-powered reading and analysis of diagnostic tests

The COVID-19 pandemic has increased the need for accurate reading of point-of-care diagnostic tests for clinical decision support and disease surveillance across large populations.

MagnifyEye utilises Sensyne’s expertise in developing novel deep learning approaches and AI algorithms to automate and improve the accuracy of reading diagnostic tests across a wide range of indications including COVID-19.

MagnifEye - For Lateral Flow Tests

Potential benefits

Improves reading accuracy and consistency

Reduces the variability, subjectivity and possible error associated with manual, unassisted image reading.

Epidemiological insight

Analysis of large image datasets may help inform disease and public health management.

Speed and flexibility

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.

MagnifEye is aimed at

Diagnostic test providers and manufacturers requiring faster, more accurate reporting of test results.
Public health agencies requiring rapid, accurate test reporting and analysis for epidemiological insights.

MagnifEye in the news


What is MagnifEye?
What format is it available in?
What problem does it help solve?
Who is it aimed at?
How does it benefit patients and clinicians?
What types of test can be read using MagnifEye?
How is MagnifEye different to other lateral flow test readers?
How could this technology help individuals during the current pandemic?
How widespread are COVID-19 lateral flow tests right now in the UK and elsewhere, and how do you see their use evolving in the coming months?
Can MagnifEye help improve the accuracy of lateral flow tests?
Do all lateral flow tests need dedicated readers to interpret the results accurately?  
Why has Sensyne developed this product?
How is the image data stored?
How will data be used?
How do you protect personal and healthcare data?