CLIJ-assistant

CLIJ-assistant enables GPU-accelerated construction and optimization of Image Data Flow Graphs for quantitative fluorescent microscopy image processing using the CLIJ2 library within Fiji.

Key Features:

• GPU-Accelerated Processing: Executes image processing operations on graphics processing units via the CLIJ2 library to accelerate analysis of large image datasets.
• Image Data Flow Graphs (IDFGs): Represents workflows as Image Data Flow Graphs that store operations, parameters, and connections.
• Expert System Integration: Tracks the sequence of operations forming an image and suggests subsequent processing steps.
• Dynamic Parameter Adjustment: Allows real-time adjustment of early processing step parameters with instantaneous visualization of effects on final results.
• Undo Functionality: Enables rewinding parameter changes by retaining historical operations, parameters, and graph connections within the IDFG.
• Batch Processing: Supports rapid batch processing of large image datasets for high-throughput analysis.
• Reproducibility and Interoperability: Exports scripts in ImageJ Macro, Java, Jython, JavaScript, Groovy, Python, and C++ for use across ImageJ, Fiji, Icy, Matlab, QuPath, Jupyter Notebooks, and Napari.

Scientific Applications:

• High-throughput fluorescent microscopy image analysis: Accelerates quantitative analysis of large fluorescent microscopy datasets using GPU processing and batch workflows.
• Workflow optimization and parameter tuning: Uses IDFG-based real-time parameter adjustment and expert-system suggestions to refine image processing pipelines.
• Reproducible cross-platform deployment: Produces language-specific scripts for deployment and reproducibility across ImageJ, Fiji, Icy, Matlab, QuPath, Jupyter Notebooks, and Napari.

Methodology:

Uses GPU acceleration via the CLIJ2 library within Fiji; represents workflows as Image Data Flow Graphs that store operations, parameters, and connections; incorporates an expert system that tracks operations and suggests subsequent steps; supports real-time parameter adjustments with immediate visualization of effects; exports scripts in ImageJ Macro, Java, Jython, JavaScript, Groovy, Python, and C++.