COMBIgor

COMBIgor provides data management, processing, and visualization for combinatorial materials science, enabling analysis of spatially resolved composition-gradient libraries and large multimodal experimental datasets.

Key Features:

• Data Management: Implements loading, storage, and organization of data from combinatorial libraries, including spatially resolved measurements.
• Streamlined Data Processing: Provides routines for processing combinatorial datasets and preparing data for analysis.
• Advanced Visualization: Generates figures and visualizations that represent composition gradients and material property maps.
• Customization and Integration: Supports integration of additional instruments and data-processing algorithms via customizable workflows.

Scientific Applications:

• Combinatorial materials characterization: Analysis of spatially resolved characterization data from libraries with lateral composition gradients.
• Cross-correlation of multimodal measurements: Correlation of data across different experimental setups and measurement tools.
• High-throughput materials screening: Analysis and visualization of large, diverse datasets generated by high-throughput combinatorial experiments in materials science and related disciplines.

Methodology:

Implemented within the Igor Pro environment, COMBIgor provides computational routines for data loading, storage, processing, visualization, and integration with external instruments and data-processing algorithms.