Alveolus analysis: a web browser-based tool to analyze lung intravital microscopy

Area of Science:

• Pulmonary research
• Biomedical imaging
• Computational biology

Background:

• Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) involve pulmonary inflammation and alveolar edema.
• Animal models are crucial for studying ALI/ARDS pathology.
• Two-photon intravital microscopy visualizes lung injury in real-time but is hindered by respiratory motion artifacts.

Purpose of the Study:

• To develop a novel visualization tool for analyzing intravital lung microscopy data.
• To address challenges posed by respiratory motion in time-series lung imaging.
• To provide a comprehensive view of integrated lung processes during injury.

Main Methods:

• Developed a web browser-based application named Alveolus Analysis.
• The tool preprocesses raw temporal image data and extracts features offline.
• Visualizes processed data through an interactive interface with multiple levels of detail.

Main Results:

• The Alveolus Analysis tool processes and visualizes intravital lung microscopy data.
• The interface presents data in three panels: summary statistics, alveolar dynamics, and cross-experiment analysis.
• User feedback confirmed the tool's utility for consistent data preprocessing and digestible visualization.

Conclusions:

• Alveolus Analysis enhances information extraction from intravital lung microscopy.
• The software offers potential for new insights into inflammatory lung injury mechanisms.
• Improved visualization aids in understanding the complex pathology of ALI/ARDS.