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Dryness of Eye prediction by using a android mobile phone

Dry Eye Prediction using Smartphones - Tear Film

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/01/030462
Enrollment
200
Registered
2021-01-14
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Microsoft Research Pvt Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Only patients with dry eye condition and healthy eye can participate in this study. The patient must not have any other eye condition(s) except dry eye.

Exclusion criteria

Exclusion criteria: The patient with any other eye condition(s) except dry eye.

Design outcomes

Primary

MeasureTime frame
aim to develop an end-to-end system to estimate lipid layer thickness, NIBUT (non-invasive tear break up time), TMH (tear meniscus height) and blink dynamics from input images and videos of the eye (20-60 seconds long) captured using smartphones.Timepoint: Estimation of Dry Eye Parameters using smart phone—

Secondary

MeasureTime frame
To compare the acquired values from the smart phone device with the standardised lipiview systemTimepoint: Estimation of Dry Eye Parameters using smart phone—

Countries

India

Contacts

Public ContactDrAnand Balasubramaniam

Sankara Eye Hospital

moksha_abs@yahoo.co.in9480587037

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026