FRC-QE

FRC-QE quantifies image quality in three-dimensional fluorescence microscopy images of cleared organoids using Fourier ring correlation to assess optical clearing efficiency.

Key Features:

• Fourier Ring Correlation (FRC): Computes a robust image quality metric based on Fourier ring correlation to quantify spatial resolution and signal consistency.
• 3D image assessment: Evaluates image quality specifically in three-dimensional microscopy datasets of cleared organoids.
• Clearing-efficiency quantification: Measures differences in optical clearing efficiency within individual organoids, across experimental replicates, and among clearing protocols.
• Compatibility with fluorescence microscopy: Processes fluorescence microscopy images obtained from cleared organoid samples.
• Multi-modality applicability: Applies the FRC-based metric across multiple microscopy modalities.
• Implementation details: Implemented as a plugin written in ImgLib2 and provided with macro-scriptable integration for workflow automation.

Scientific Applications:

• Optimization of optical clearing protocols: Tests and optimizes clearing methods for improved transparency and image quality in organoid samples.
• Protocol comparison: Compares clearing efficiency across different clearing protocols and staining techniques.
• Reproducibility assessment: Quantifies variability in image quality across experimental replicates to support reproducible imaging analyses.
• Organoid imaging evaluation: Assesses the suitability of cleared organoid images for downstream quantitative analysis.

Methodology:

Applies Fourier ring correlation to three-dimensional fluorescence microscopy images of cleared organoids and implements the computation as an ImgLib2 plugin with macro-scriptable access.