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Ocular Cone Contrast Test (CCT) Skill

Ocular Cone Contrast Test (CCT) Skill

Ocular Cone Contrast Test (CCT) Skill

License Python OpenClaw GenPark MCP

Cone Contrast Test (CCT) and Photoreceptor Contrast Sensitivity Analyzer based on Rabin cone isolation psychophysics.

flowchart TD
    A[Cone-Isolating Contrast Thresholds: L, M, S] --> B[Logarithmic Score Transformation: 0 - 100]
    B --> C[Compute Individual L, M, S Scores]
    C --> D{Score Threshold >= 75?}
    D -- All >= 75 --> E[Normal Trichromatic Photoreceptor Integrity]
    D -- S-cone < 60 --> F[Acquired Tritan / Macular / Glaucoma Defect]
    D -- L-cone < 60 --> G[Protan Selective Defect]
    D -- M-cone < 60 --> H[Deutan Selective Defect]

Features

  • Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).

  • LMS Psychophysics: Separates L, M, and S photoreceptor channels to detect subclinical maculopathies.

  • Rabin CCT Standardization: Maps raw thresholds to calibrated 0-100 diagnostic scores.

  • Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.

Related MCP server: two-point-discrimination

Quickstart

python example_usage.py

License

Apache-2.0

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