TWOMBLI

TWOMBLI quantifies extracellular matrix (ECM) patterning in microscopy images to provide comprehensive, multi-metric descriptions of matrix architecture in normal and pathological tissues.

Key Features:

• Comprehensive Quantification: Simultaneously measures a broad spectrum of ECM metrics to capture multiple aspects of matrix patterning.
• Automated Pipeline: Implements an automated pipeline for concurrent extraction of multiple quantitative descriptors from images.
• Holistic Pattern Description: Combines multiple metrics to provide a holistic description of diverse matrix patterns.
• Integration with FIJI/ImageJ: Implemented as an ImageJ/FIJI plugin to operate within that biomedical image analysis environment.
• Efficient Processing: Designed for rapid processing of images to produce quantitative results.

Scientific Applications:

• Normal tissue architecture: Quantifies ECM organization to support studies of tissue structure and physiology.
• Disease pathology: Characterizes ECM pattern changes associated with pathological tissues and disease progression.
• Comparative matrix analysis: Enables quantitative comparison of matrix organization across experimental conditions.

Methodology:

Operates as a plugin within the FIJI (Fiji Is Just ImageJ) environment and uses an automated pipeline to quantify multiple ECM metrics from microscopy images.