Methods for processing and analyzing images of vascularized micro-organ and tumor systems

Area of Science:

• Biomedical Engineering
• Cell Biology
• Drug Discovery

Background:

• Current preclinical models often lack the complexity and physiological relevance of native tissues.
• Microfluidic devices offer potential for more accurate in vitro modeling.
• Tissue-engineered organ constructs require advanced platforms for sustained culture and analysis.

Purpose of the Study:

• To develop and validate an advanced microfluidic platform for improved preclinical modeling.
• To create a high-fidelity organ-on-a-chip system for studying healthy and diseased states.
• To establish a standardized image analysis pipeline for high-throughput data extraction.

Main Methods:

• Development of a microfluidic platform enabling self-organization of diverse cell types into perfused microvascular networks.
• Customization of the platform to create vascularized micro-organs (VMOs) and vascularized micro-tumors (VMTs).
• Utilization of Fiji/ImageJ and standardized workflows for high-throughput image processing and analysis.

Main Results:

• The VMO/VMT system successfully mimics in vivo nutrient exchange and drug delivery in a 3D microenvironment.
• Real-time, high-resolution imaging capabilities provide insights into cellular interactions and drug responses.
• The developed image analysis pipeline significantly reduces manual processing time for VMO/VMT data.

Conclusions:

• The VMO/VMT platform offers a high-fidelity model for drug screening and mechanistic studies in vascular biology, cancer, and organ-specific pathologies.
• The adaptable microfluidic system supports diverse applications, including traditional in vitro models and other microphysiological systems.
• Standardized image analysis workflows enhance the efficiency and throughput of data extraction from complex microfluidic models.