CiliaQ

CiliaQ quantifies and analyzes ciliary morphology and fluorescence in 2D, 3D, and 4D fluorescence microscopy images for quantitative studies of cilia.

Key Features:

• ImageJ plugin suite: Implemented as a suite of ImageJ plugins for image-based analysis of cilia.
• Automated quantification: Performs automated quantification and analysis of ciliary morphology and fluorescence signals.
• Multi-dimensional support: Handles 2D, 3D, and 4D (time-lapse) fluorescence microscopy images.
• Static and time-lapse analysis: Analyzes both single-frame (static) images and time-lapse image sequences.
• Output parameters: Produces detailed ciliary parameters including length, bending, orientation, and fluorescence intensity.
• High-throughput processing: Supports large-scale automated analysis workflows for multiple images or datasets.
• Sample compatibility: Applicable to ciliary studies in cell cultures and tissue samples.

Scientific Applications:

• Ciliopathy research: Quantitative assessment of ciliary morphology and fluorescence to investigate defects associated with ciliopathies.
• Motile and primary cilia analysis: Comparative analysis of motile and primary cilia morphology and fluorescence characteristics.
• Ciliary function in health and disease: Measurement of ciliary parameters to study roles of cilia in physiological and pathological contexts.
• Time-resolved ciliary dynamics: Analysis of ciliary behavior and fluorescence changes in time-lapse fluorescence microscopy.

Methodology:

Implemented as a suite of ImageJ plugins that perform automated quantification and analysis on 2D, 3D, and 4D fluorescence microscopy images, outputting parameters such as length, bending, orientation, and fluorescence intensity.