Cell spheroids have emerged as crucial building blocks in modern tissue engineering and advanced drug screening platforms. Traditional 2D cultures often fail to replicate the complex human tissue environment accurately. Consequently, researchers are shifting toward 3D hydrogel systems to improve the predictive value of in vitro models. This study introduces a novel automated pipeline designed for accurate 3D cell spheroid tracking within these complex hydrogel environments.

The Impact of 3D Cell Spheroid Tracking on Drug Discovery

While encapsulating spheroids into hydrogels creates more reliable biological models, it also introduces significant technical constraints. Factors such as hydrogel swelling, shading, and limited depth-resolution often hinder consistent long-term monitoring. However, the newly developed pipeline using NIS Elements AR software overcomes these barriers effectively. By extending the depth of focus and reducing hydrogel shading, the system identifies coordinates automatically for time-lapse analysis up to 70 hours.

Moreover, the researchers established a precise method to track migration trajectories of detached cell clusters. This capability is vital for studying processes like cancer metastasis and integrated tissue repair. During validation, human mesenchymal stem cell spheroids showed high dynamicity and intense swelling in certain hydrogels like xanthan gum-alginate. Conversely, photocrosslinked methacrylate hyaluronic acid remained stable for over 60 hours without noticeable movement.

Furthermore, the system successfully detected subtle morphological changes, including axis rotational motion, outermost layer movements, and spheroid fusion. The average migration speed recorded by the pipeline was approximately 1.3 µm/h. Such high-precision data reduces manual interference and facilitates the scaling up of advanced clinical applications, including personalized medicine and toxicity testing.

Frequently Asked Questions

What are the main challenges in imaging spheroids within hydrogels?

Imaging is often limited by hydrogel dynamicity, swelling, and optical shading. These factors can obscure spheroid borders and significantly reduce the accuracy of long-term time-lapse microscopy analysis.

How does the automated pipeline improve measurement accuracy?

The pipeline utilizes a sequence of specialized functions to enhance borders and extend the depth of focus. This allows for automated coordinate identification and precise tracking of even small protruding cell clusters with minimal manual input.

Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or a substitute for professional healthcare consultation. Refer to the latest local and national guidelines for clinical practice.

References

Decarli MC et al. An automated pipeline for tracking and measuring cell spheroids encapsulated in 3D hydrogel systems. Biofabrication. 2026 Feb 20. doi: 10.1088/1758-5090/ae4893. PMID: 41719589.

Yoo S, Lee HJ. Spheroid-Hydrogel-Integrated Biomimetic System: A New Frontier in Advanced Three-Dimensional Cell Culture Technology. Cells Tissues Organs. 2025;214(2):128-147. doi: 10.1159/000541416.

Sawhney AS et al. Three-Dimensional In Vitro Cell Culture Models for Efficient Drug Discovery: Progress So Far and Future Prospects. PMC. 2024.