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In vivo Imaging of Tumor Angiogenesis using Fluorescence Confocal Videomicroscopy

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Methods for Processing and Analyzing Images of Vascularized Micro-Organ and Tumor Systems.

Stephanie J Hachey¹, Christopher J Hatch², Daniela Gaebler¹

¹University of California, Irvine, Molecular Biology and Biochemistry, Irvine, CA, USA.

Biorxiv : the Preprint Server for Biology

|March 31, 2025

Summary

We developed an advanced microfluidic platform, the vascularized micro-organ (VMO), for improved preclinical modeling. This system enables detailed analysis of tissue-engineered organs-on-chips and tumors, enhancing drug screening and disease studies.

Keywords:

bioengineering image processing microfluidic microphysiological system therapeutic development tumor microenvironment tumor on chip

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Area of Science:

Biomedical Engineering
Microfluidics
Tissue Engineering

Background:

Preclinical models are crucial for understanding diseases and testing therapeutics.
Current models often lack the complexity and functionality of native human tissues.
Advanced microfluidic platforms offer potential for more physiologically relevant in vitro systems.

Purpose of the Study:

To develop and validate an advanced microfluidic platform for improved preclinical modeling of healthy and disease states.
To enable extended culture and detailed analysis of tissue-engineered miniaturized organ constructs (organs-on-chips).
To present an image processing and analysis pipeline for data extraction from this novel model.

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 analysis of VMO/VMT models.

Main Results:

The VMO/VMT system successfully mimics native tissue structure and function, including nutrient exchange and drug delivery.
High-resolution, real-time imaging provides insights into cellular interactions and dynamic processes.
The developed image analysis pipeline significantly reduces manual processing time for VMO/VMT data.

Conclusions:

The vascularized micro-organ (VMO) platform provides a high-fidelity preclinical model for drug screening and mechanistic studies.
The adaptable VMO/VMT system can represent various organ systems and tumors, facilitating research in vascular biology, cancer, and organ pathologies.
The presented image analysis tools are applicable to VMO/VMT models and other microphysiological systems, promoting data standardization and efficiency.