- Application
- Blink, tear film, and ocular surface assessment for dry eye disease
- Clinical Domain
- Ocular surface, including dry eye screening, classification support, and treatment monitoring
- Relevant For
- Device makers, Solution builders, Researchers, Pharma and biotech, and CROs
- What Teams Can Do
- Detect, Track, and Study
- Platform Layers
- Ocunur headset, eye tracking, eye imaging, display, controlled illumination, SDK, middleware privacy controls, and IntelliMDM
Overview
Dry eye disease is a chronic condition of the ocular surface in which the tear film becomes unstable, leading to discomfort, fluctuating vision, and inflammation. It is one of the most common reasons patients visit an eye care provider, and its prevalence is rising with longer daily screen use.
This use case describes how teams can use the IntelliXR® platform to measure blink behavior, capture ocular surface images, present symptom questionnaires, and run the same assessment protocol across visits and sites, all within a single headset session.
Clinical Context
Dry eye assessment usually combines several separate tests. A patient completes a symptom questionnaire, then moves to the slit lamp for tear breakup time, tear meniscus evaluation, and ocular surface staining. Each test depends on room conditions, the equipment available, and the examiner.
Blink behavior plays a direct role in tear film health. Reduced blink rate and incomplete blinks, especially during focused visual tasks, leave the ocular surface exposed for longer and are linked to evaporative dry eye. These patterns are difficult to observe objectively in a standard exam.
A head-mounted approach gives teams a consistent assessment environment. The headset controls the visual task, the lighting, and the camera position, and it records blink behavior continuously while the patient completes the test.
What Teams Can Do
1. Detect
Combine symptom questionnaires, blink measurements, and ocular surface images in one session to identify patients who need a full dry eye workup.
2. Track
Repeat the same protocol at each visit to follow changes in symptoms, blink behavior, and ocular surface appearance through treatment.
3. Study
Collect standardized, de-identified measurements across sites for clinical trials, observational studies, and model development.
4. Combine
Run dry eye assessment in the same session as other platform applications, such as lid margin imaging for Demodex blepharitis.
Requirements and Platform Capabilities
| Requirement | Why It Matters | Platform Capability |
|---|---|---|
| Objective blink measurement | Blink rate and completeness affect tear film stability | Binocular eye tracking that records blink events with timestamps |
| Controlled visual task | Blink behavior changes during focused tasks such as reading | Application-defined visual tasks presented on the headset display |
| Consistent image geometry | Ocular surface images must be comparable across visits | Fixed camera-to-eye distance inside the Ocunur headset |
| Controlled illumination | Tear film and surface appearance change with lighting | Illumination and display brightness controlled by the application through the SDK |
| Standard symptom scoring | Symptoms are a core part of dry eye diagnosis | Questionnaires presented on the display with responses captured through the session |
| Structured session records | Measurements must link to study, subject, and visit | Sessions bound to anonymized study and subject identifiers, exported as JSON or CSV |
| Patient data protection | Eye images and symptom data are sensitive clinical data | De-identification, metadata stripping, AES-256 encryption, consent, and audit logging |
| Multi-site consistency | Trials and clinic networks need the same configuration at every site | IntelliMDM enrollment, policy enforcement, and OTA updates |
System Architecture
A dry eye application sits at Tier 4 of the IntelliXR® stack. Every layer beneath it is provided by the platform.
| Tier | Layer | Role in Dry Eye Assessment |
|---|---|---|
| Tier 4 | Client Application | Assessment protocol, questionnaires, scoring, review workflow, and results display. |
| Tier 3 | SDK | Eye tracking, eye imaging, display, session, data, privacy, and device modules. |
| Tier 2 | Middleware Runtime | Blink and gaze processing, image handling, encryption, de-identification, and session management. |
| Tier 1 | Hardware Abstraction Layer | Eye camera, illumination, and display drivers. |
| Tier 0 | Hardware | Ocunur headset and Android compute host. |
| Fleet | IntelliMDM | Device enrollment, policy enforcement, security, and OTA updates across sites. |
How It Works
6.1 Session Setup
Each assessment runs as a session bound to anonymized study and subject identifiers. The application loads its protocol, which defines the questionnaire, the visual tasks, illumination settings, and the image capture sequence.
6.2 Symptom Questionnaire
The patient answers a symptom questionnaire presented on the headset display. Responses are stored in the same session as the objective measurements, so symptoms and signs can be reviewed together.
6.3 Blink Measurement
Binocular eye cameras record blink events continuously. The application can measure blink rate, interblink interval, and blink completeness at rest and during a visual task such as reading text on the display. Comparing the two conditions shows how blink behavior changes under visual load.
6.4 Ocular Surface Imaging
The eye imaging module captures images of the ocular surface and tear meniscus under the illumination set by the application. Each image is timestamped and linked to the session, the eye, and the gaze target in use at the moment of capture.
6.5 Review and Scoring
Measurements and images are available to the application for clinician review and scoring. Teams developing automated analysis can use the same data as inputs to their own classification or grading models.
6.6 Longitudinal Comparison
Because the protocol, lighting, and camera position stay the same at every visit, results can be compared over time to follow response to treatment.
6.7 Data Handling
Privacy controls run on the device. Eye images are de-identified, metadata is stripped, exports are encrypted with AES-256, and every access is recorded in a tamper-evident audit log before data leaves the headset.
6.8 Fleet Management
Every headset is enrolled in IntelliMDM, which applies the same protocol configuration and security policies at every site. Protocol updates reach the full fleet remotely, so every site moves to the same version together.
Example Applications
1. Dry eye screening in routine exams
A solution builder adds a short questionnaire and blink assessment to an existing headset-based exam, so patients with likely dry eye are flagged for follow-up.
2. Screen-use blink assessment
A research team measures how blink rate and completeness change during sustained reading tasks, using the display to present the same task to every participant.
3. Treatment response monitoring
A clinic follows patients on dry eye therapy by repeating the same protocol at each visit and comparing symptoms, blink behavior, and surface images over time.
4. Clinical trial endpoints
A pharma sponsor or CRO uses standardized symptom scores and objective blink measurements as consistent endpoints across trial sites, with de-identified data collected centrally.
Key Takeaways
1. Symptoms and signs are captured together
Questionnaires, blink data, and images sit in one session record, which supports a complete view of each patient.
2. Blink behavior becomes a measurable signal
Continuous eye tracking turns blink rate and completeness into objective data, at rest and under visual load.
3. A controlled environment supports comparison over time
Fixed geometry, controlled lighting, and repeatable visual tasks keep results comparable from visit to visit.
4. Privacy is handled at the point of capture
De-identification and encryption run on the device, so sensitive data is protected before it leaves the headset.
5. The same headset supports other ocular surface applications
Dry eye assessment runs on the same platform as lid margin imaging for Demodex blepharitis and other vision diagnostics.
Develop ocular surface applications on the IntelliXR® platform. Book a demo or explore the IntelliXR® technical documentation.
