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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
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  • Home
  • PupilMetrics Documentation
  • Natural Medicine Therapy Panels
  • 5.2 How Zone Findings Drive the Therapy Panels

5.2 How Zone Findings Drive the Therapy Panels

< 1 min read

**Qualifying finding types**

| Finding type | Badge | Weighting in ranking |

|————–|——-|———————|

| Flattening (lacuna / crypts) | **FLAT** | severity × 1.2 (highest priority) |

| Protrusion (raised sector) | **PROT** | severity × 1.0 |

| ANW shift (ring displacement) | **ANW** | deviation × 0.8 |

Findings are ranked by their weighted score. Each engine caps the number of displayed cards:

– Herbal engine: up to **6 zone cards**

– Nutrition engine: up to **6 zone cards**

– Chiropractic engine: up to **5 zone cards**

– TCM engine: up to **5 zone cards**

If a zone maps to an organ that the database does not cover, that zone is silently skipped. No recommendation card is generated.

**OD / OS labelling**

Every card carries an eye badge (**OD** = right / **OS** = left) so the practitioner knows which eye produced the finding. The iris zone map is mirrored between eyes: for example, the 9-o’clock zone is the right lung (OD) and the left lung (OS); the 3-o’clock zone is the left heart/pericardium (OS) and the right back/pleura (OD).

Updated on March 24, 2026

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5.1 Enabling the Therapy Modules5.3 Herbal Recommendations Panel

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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