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Related Experiment Video

Updated: May 6, 2026

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

Development of a multiparameter phantom system for multispectral imaging.

Xingjun Gao^1,2, Xiaopeng Chen³, Zhisheng Wu⁴

¹School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Biomedical Optics Express

|December 10, 2025

Summary

This summary is machine-generated.

A new, cost-effective phantom system allows for tunable oxygen saturation and multilayered tissue simulation. This standardized platform enhances the evaluation of multispectral imaging devices for physiological parameter visualization.

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Last Updated: May 6, 2026

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

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Published on: February 12, 2018

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Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

Area of Science:

Biomedical Optics
Medical Imaging Technology
Biophotonics

Background:

Multispectral imaging visualizes physiological parameters like oxygen saturation (SO2) and lipid distribution.
Current tissue phantoms lack layered structures and traceable standards, limiting performance assessment of imaging techniques.

Purpose of the Study:

To develop a multiparameter, multilayered phantom system for evaluating multispectral endoscopic imaging.
To establish a traceable calibration standard for oxygen saturation measurements.

Main Methods:

A novel phantom system with bidirectionally tunable SO2 and distinct vascular, mucosal, and lipid layers was created.
A blood gas analyzer was integrated as a traceable reference standard for SO2 calibration.
Two multispectral endoscopic imaging methods were validated using the developed phantom system.

Main Results:

The phantom system successfully simulated tunable SO2 and multilayered tissue structures.
Traceable SO2 calibration was achieved using the integrated blood gas analyzer.
The phantom enabled effective validation of two multispectral endoscopic imaging techniques.

Conclusions:

The proposed cost-effective phantom system addresses the limitations of existing methods.
This platform provides a standardized approach for evaluating endoscopic devices for physiological parameter visualization.
The system facilitates improved assessment of imaging techniques for clinical applications.