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Clinical Neuro-Optic Reseach Initiative
  • Home
  • Human Eye Project
    • The Pupil
    • Pupil Decentration-Multiformaties
    • Pupil Deformations
    • Pupil Color and Dimensions
    • Pupil Anisocoria
    • Pupil Miosis
    • Pupil Mydriasis
    • Pupil Reflexes
    • The Collarette
    • The Iris
  • PupilMetrics App
    • PupilMetrics Android
    • PupilMetrics Windows
    • PupilMetrics Mac OS
  • Documentation
  • Pricing
  • Learn More
    • CNRI Research
    • History
    • About
    • Eye Photo Tips & Tricks
    • IRB Status
    • Pupil Abstract Blog
    • Privacy Policy
    • Terms of Service

Getting Started

5
  • 1.1 System Requirements
  • 1.2 Installation
  • 1.3 Licensing
  • 1.4 First Launch
  • 1.5 Desktop Window & Keyboard Shortcuts

Capturing Eye Images

8
  • 2. Capturing Eye Images
  • 2.1 Camera Source Selection
  • 2.2 Quality-Gated Camera Mode – Android App
  • 2.3 Manual Camera Mode – Android
  • 2.4 USB / UVC Iriscope (Dino-Lite)
  • 2.5 PLR Video Mode – Android
  • 2.6 Import from Gallery
  • 2.7 Tips for a Good Capture

Reading the Analysis Results

10
  • 3. Reading the Analysis Results
  • 3.1 The Iris Zone Map
  • 3.2 PI Ratio (Pupil–Iris Ratio)
  • 3.3 Zone Findings — Flattenings (FLAT) and Protrusions (PROT)
  • 3.4 ANW Assessment (Collarette / Autonomic Nerve Wreath)
  • 3.5 Decentration (Pupil Position)
  • 3.6 Ellipseness (Pupil Shape)
  • 3.7 Anisocoria (Pupil Size Difference)
  • 3.8 Confidence Scores & Hybrid Fusion
  • 3.9 Scan History

Patient Management

4
  • 4. Patient Management & Exports
  • 4.1 PDF Report
  • 4.2 Plain-Text & JSON Export
  • 4.3 Sharing & Filing

Natural Medicine Therapy Panels

8
  • 5. Natural Medicine Therapy Panels
  • 5.1 Enabling the Therapy Modules
  • 5.2 How Zone Findings Drive the Therapy Panels
  • 5.3 Herbal Recommendations Panel
  • 5.4 Nutrition Recommendations Panel
  • 5.5 Chiropractic Correlations Panel
  • 5.6 TCM Correlations Panel
  • 5.7 Reading Therapy Panels Together

Constitutional Iridology

7
  • 6. Constitutional Iridology
  • 6.1 Background & Theoretical Basis
  • 6.2 The 34 Constitutional Types
  • 6.3 Selecting a Constitutional Type
  • 6.4 Constitutional Panel in Analysis Results
  • 6.5 Constitutional Section in the PDF Report
  • 6.6 Clinical Guidance & Limitations

Exporting PDF Reports

2
  • 7. Exporting PDF Reports
  • 7.1 Regenerating a PDF

Settings & Customization

5
  • 8. Settings & Customization
  • 8.1 Languages
  • 8.2 Zone Overlay & Observer Notes
  • 8.3 ML Comparison Panel
  • 8.4 About & Support

Clinical & Legal Disclaimers

2
  • 9. Clinical & Legal Disclaimers
  • 9.1 Data Privacy
View Categories
  • Home
  • PupilMetrics Documentation
  • Capturing Eye Images
  • 2.2 Quality-Gated Camera Mode – Android App

2.2 Quality-Gated Camera Mode – Android App

< 1 min read

| **Brightness** | 30 – 230 (0–255 scale) | Under- and over-exposure |

| **Contrast** | Score ≥ 30 | Flat, low-detail images |

| **Pupil confidence** | ≥ 30% | Frame contains a detectable pupil |

| **Centre offset** | ≤ 25% of frame | Pupil not centered enough |

**Status indicators**

– 🔴 Red border + live feedback message — one or more criteria failing; hold still and adjust position

– 🟡 Amber — borderline; minor adjustment needed

– 🟢 Green border — all criteria met; photo is captured automatically

**”Not an Eye” rejection**

Even after automatic capture, a secondary AI check confirms the image contains an iris/pupil. If a non-eye image is detected (fingers, floor, clothing), a warning dialog appears with the option to retake.

**Tips for best results**

– Stabilize the device — even small hand movement drops sharpness below threshold.

– Ensure even lighting; avoid direct sunlight on one side.

– Position the iris in the center of the frame before getting close.

– Allow 2–3 seconds for the auto-exposure to settle after moving the camera.

Updated on March 24, 2026

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2.1 Camera Source Selection2.3 Manual Camera Mode – Android

The Clinical Neuro-Optic Research Initiative (CNRI) advances pupil-based neurodiagnostics by preserving historical insights, developing modern analytic tools, and researching links between ocular microstructures and systemic health. Our mission is to validate and expand neuro-optic biomarkers for breakthroughs in early detection, monitoring, and non-invasive assessment of autonomic and neurological function.

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