Sensyne Health MagnifEYE User Manual

The artificial intelligence
*iOS 8/ Android 2.4 onwards
Lateral flow tests
Other devices
app that automates the fast and accurate reading of lateral-flow tests
MagnifEYE is a new soware application that automates the interpretation of lateral flow tests (LFTs), helping users to rapidly classify each test as ‘positive’, ‘negative’ or ‘invalid’ with high accuracy†.
The app works by supporting a user to take a photo of an LFT using a smartphone camera. Machine learning is used to detect diicult to read lines, including those not visible to the human eye, potentially improving the accuracy of the result†. The algorithm has been shown to perform even at very low viral loads, supporting the detection of very faint lines.
Use phone to scan*
User journey
Image algorithm engine
<2 second round trip
The test
is Positive
Accura cy determin ed by perfo rmance of AI alg orithm tra ined and valid ated on 1200 test s across a rang e of titrated v iral loads. O n 166 images read able by the huma n eye, the algori thm perfor med with 100 % accuracy ; at a viral load n ot readable by th e human eye, performance was above 75%.
sensynehealth.com/magnifeye
Commercially flexible
The MagnifEye technology is available for 3rd party use via APIs, or our team can create a bespoke mobile app for customers.
The algorithm can be trained on any lateral flow test,
generally within days, depending on the training data.
The algorithm is designed to help the user interpret the test,
as designed by the manufacturer and according to their Instructions for use.
The algorithm can be delivered via an SDK or as an
API available for use on both Android and iOS phones, or within an ML container on the phone (requires iOS 13 / marshmallow).
User friendly
Identifies, guides and frames the area of interest in the test then automatically takes a photo to ensure high quality images.
Rapid testing
Rapidly classifies each test as ‘positive’, ‘negative’ or ‘invalid’ in just a few seconds.
It can be delivered in a cloud-based environment or directly
integrated for use on the phone offline.
The product can also be configured to read and report
QR/barcodes, to help manage supply chains and support fraud detection.
The algorithm and any required app elements can be
optimally configured and delivered via a high performing API to meet the needs of clients who already have apps in place. Our app components were built under ISO13485 and ISO27001 quality management standards.
Improves accuracy
Reduces the variability associated with user interpretation of LFTs.
Robust
Works accurately regardless of lighting conditions, backgrounds or other variations.
Fraud detection
Distinguishes real and fake lines.
Image capture & algorithm
MagnifEye features an image capture app, in Android and iOS, which enables the user to take photos of the test from above, within guidelines, as near to the test as possible, automatically turning on the flash if necessary.
This frictionless user journey, which provides guidance to the user to help position their camera, automatically takes a photo when the requisite conditions are met. This optimises performance of the algorithm.
Secure
Data is encrypted and securely held on the cloud with robust cyber security.
For more information on availability, please contact:
info@sensynehealth.com
www.sensynehealth.com
© 2021 Sen syne Health p lc. Regist ered in Englan d and Wales No. 11425 451. Subjec t to contract . | Public Infor mation. Ref. CORP-065-01
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