# More than just life and death: advances in imaging and analysis for 3D-bioprinted tissues

## TL;DR

This paper discusses how new imaging and analysis methods, including AI, can improve the evaluation of 3D-bioprinted tissues beyond just cell survival.

## Contribution

The paper introduces a multi-faceted approach using advanced imaging and AI to better define success in 3D bioprinting.

## Key findings

- New imaging techniques and AI tools can enhance the characterization of 3D-bioprinted tissues.
- Success in 3D bioprinting should be defined beyond cell viability to include cell identity and behavior.
- Robust and high-quality bioprinted models are essential for drug screening and disease modeling.

## Abstract

3D bioprinting is a fast-growing field with applications in both microphysiological systems and tissue engineering. However, the qualifications and definitions of success for 3D-bioprinted products are insufficient. We can further our characterization of 3D-bioprinting methods and finished products using new imaging techniques and analysis methods, including the use of AI tools. This multi-faceted approach can deepen our understanding of valuable technology by examining the effects of 3D bioprinting on cell identity, behavior and organelles. Defining a successful 3D-bioprinted product in addition to viability is crucial in the push toward using these models for drug screening or disease modeling, where robust and high-quality systems are required for meaningful data output.