This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Cutaneous Microdialysis In Vivo Relative Recovery and Zero-Net-Flux (ZNF) Quantitative Analyzer based on Bungay transport modeling.
flowchart TD
A[Variable Perfusate Concentrations C_in] --> B[Collect Dialysate Concentrations C_out]
B --> C[Compute Net Membrane Flux: Delta C = C_in - C_out]
C --> D[Linear Regression: Delta C vs C_in]
D --> E[Zero-Net-Flux Point: Delta C = 0 -> True C_interstitial]
D --> F[Slope = In Vivo Probe Extraction Fraction E_d]
E & F --> G[Biomarker Quantitation & Probe Delivery Guidance]Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).
Zero-Net-Flux Method: Determines exact interstitial concentrations independent of unknown tissue tortuosity or probe fouling.
Bungay Transport Physics: Validated against classic in vivo microdialysis mass-transfer equations.
Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Related MCP server: cutaneous-microcirculation
python example_usage.pyApache-2.0
This server cannot be deployed
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