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Ocular Photopic Negative Response (PhNR) Skill

Ocular Photopic Negative Response (PhNR) Skill

by Alpha-Park

Ocular Photopic Negative Response (PhNR) Skill

License Python OpenClaw GenPark MCP

Photopic Negative Response (PhNR) and Retinal Ganglion Cell Electrophysiological Analyzer based on full-field flash ERG biophysics.

flowchart TD
    A[Photopic Flash ERG Signal] --> B[Extract B-Wave Peak & Latency]
    A --> C[Extract PhNR Negative Trough & Latency]
    B & C --> D[Compute PhNR Amplitude & PhNR / B-Wave Ratio]
    D --> E{PhNR / B-Wave Ratio Threshold}
    E -- >= 0.35 --> F[Normal Retinal Ganglion Cell Electrophysiology]
    E -- < 0.25 --> G[Selective RGC Deficit / Glaucoma Risk]

Features

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

  • Inner Retinal Specificity: Selectively indexes retinal ganglion cell soma and axonal bio-signals.

  • Normalized Ratio Calculation: PhNR/b-wave metric resists confounding from cataracts or pupil constriction.

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

Related MCP server: Electroretinogram Photopic Negative Response (PhNR) Skill

Quickstart

python example_usage.py

License

Apache-2.0

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