proMAD

proMAD models time-resolved horseradish peroxidase (HRP)-based signal development and quantitatively analyzes protein microarrays, including membrane arrays immobilized by antibodies, to improve densitometric measurement of protein–antibody interactions.

Key Features:

• Kinetic-Based Quantification: Models signal development over time using reaction kinetics of horseradish peroxidase (HRP)-based detection to enable dynamic quantification.
• Exact Membrane Alignment: Uses basic computer vision techniques to ensure accurate alignment of membranes.
• Background Light Estimation: Provides a stable method to estimate background light levels to improve signal detection.
• Self-Referencing Signal Modeling: Creates per-membrane self-referencing models that incorporate reaction kinetics to normalize across experimental variation.
• Densitometric Quantification: Quantifies visual signals from protein–antibody complexes via densitometry informed by kinetic modeling.

Scientific Applications:

• Densitometric Assessment: Improves the reliability and precision of densitometric measurements in protein microarray analysis by accounting for time-resolved signal development.
• Protein Interaction Studies: Enables comparative analysis of protein–antibody interactions on antibody-captured membrane arrays.
• Biomarker Discovery: Supports biomarker discovery by providing more comparable quantitative measurements across experiments.
• Diagnostic Assay Development: Assists development and evaluation of membrane-based diagnostic assays by reducing inter-experimental variability.

Methodology:

Models HRP-based reaction kinetics to fit time-series signal development and derive dynamic quantification; applies basic computer vision algorithms for membrane alignment; estimates background light levels; performs densitometric quantification and per-membrane self-referencing signal modeling.