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Related Experiment Video

Updated: Oct 26, 2025

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

Virtual and augmented reality for biomedical applications.

Mythreye Venkatesan^1,2,3, Harini Mohan¹, Justin R Ryan⁴

¹Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Cell Reports. Medicine

|August 2, 2021

Summary

This summary is machine-generated.

Extended reality (XR) technologies like virtual reality (VR) and augmented reality (AR) offer immersive 3D visualization for biomedical applications. These tools enhance learning, surgical accuracy, and understanding of complex biological systems.

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Area of Science:

Biomedical Visualization
Immersive Technologies
Digital Health

Background:

Extended Reality (XR) technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), are increasingly accessible and affordable.
XR enables immersive 3D visualization, overcoming limitations of traditional 2D displays.
These technologies are adopted across diverse fields, from entertainment to education.

Purpose of the Study:

To provide a perspective on current XR applications in biomedicine.
To demonstrate XR's utility through case studies in cell biology, proteomics, and cardiac surgery.
To discuss challenges and cost-effectiveness of XR platforms in healthcare.

Main Methods:

Review of XR technologies and their adoption in various domains.
Case study analysis of XR implementation in specific biomedical contexts.
Exploration of adverse health effects and cost comparison of different XR platforms.

Main Results:

XR platforms facilitate 3D visualization of complex biomedical data, including cell biology, multiplexed proteomics, and surgical information.
Case studies highlight successful applications in visualizing cardiac 3D models and surgical data.
Emerging challenges and cost factors associated with XR implementation are identified.

Conclusions:

XR technologies offer significant potential for enhancing biomedical education and training.
XR can improve the accuracy of medical operations and surgical guidance.
These immersive tools aid in comprehending intricate biological systems and molecular data visualization.