Western Blot Quantification

Western Blot Quantification MCP Connector for Claude

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Quantify protein expression from western blot data using densitometry and statistical analysis.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a complete suite of tools for analyzing western blot results. It allows AI agents to perform background correction using analyze_band_densities, normalize protein levels via normalize_protein_expression, calculate group-wise changes with calculate_fold_change, and determine statistical significance using evaluate_statistical_significance. It transforms raw band intensities into meaningful biological insights like fold change and p-values.

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4 tools expose this connector's capabilities to your AI agent.

evaluate_statistical_significance

Assesses whether differences between experimental groups are statistically meaningful

calculate_fold_change

Determines the magnitude of change in protein expression between groups

normalize_protein_expression

Adjusts target protein levels based on loading controls

analyze_band_densities

Calculates the corrected intensity of protein bands after removing background noise

See how to talk to your AI agent using Western Blot Quantification.

Calculate the corrected intensities for these bands: Band A (raw 150, bg 20) and Band B (raw 80, bg 30).

The corrected intensity for Band A is 130 and for Band B is 50.

What is the fold change for the 'Treated' group compared to the 'Control' group if the Control mean is 1.0 and the Treated mean is 2.5?

The fold change for the Treated group is 2.5.

Is the difference between Group A and Group B significant if the p-value is 0.02?

Yes, the difference is statistically significant as the p-value is below the 0.05 threshold.

You can use the `analyze_band_densities` tool. Provide the raw intensities and the background intensities for each band to get the corrected values.

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