Functional material probes and advanced technologies in organ-on-a-chip characterization

Area of Science:

• Biomaterials Science
• Microfluidics
• Cell Biology
• Biomedical Engineering

Background:

• Organ-on-a-Chip (OoC) technology integrates biomaterials, microfluidics, and cell biology to mimic organ functions for drug development and disease modeling.
• Conventional offline detection methods struggle with the complex, miniature scale of OoCs, limiting molecular-specific and omics analyses.
• Online detection technologies like fluorescence probes and biosensors offer real-time, in situ monitoring crucial for OoC accuracy.

Purpose of the Study:

• To address the lack of comprehensive reviews on fluorescence probe techniques for OoC real-time characterization.
• To establish a multidimensional evaluation framework for offline and online detection technologies in OoC characterization.
• To integrate image recognition and artificial intelligence (AI) for advancing OoC standardization and quality control.

Main Methods:

• Development of a multidimensional evaluation framework for detection technologies in Organ-on-a-Chip systems.
• Integration of fluorescence probes and biosensors for online, real-time monitoring within OoCs.
• Incorporation of image recognition and AI for enhanced data analysis and OoC characterization.

Main Results:

• The study proposes a novel framework for evaluating detection technologies in OoC characterization.
• Integration of online detection and AI offers improved spatiotemporal resolution and accuracy for OoC monitoring.
• The framework aims to support standardization and industrial quality control for OoC platforms.

Conclusions:

• Online detection technologies are essential for overcoming limitations of traditional methods in OoC analysis.
• The integration of AI and image recognition holds significant potential for advancing OoC capabilities.
• This work provides methodological support to enhance the reliability and efficacy of OoCs in biomedical research and applications.