What is this collection about?

Advances in modern biology increasingly depend on the ability to extract quantitative and mechanistic insight from complex imaging data, spanning scales from molecules and cells to tissues and organisms. At the same time, rapid progress in artificial intelligence, machine learning, and computational modelling has enabled powerful new approaches to image acquisition, reconstruction, analysis, and interpretation. Computational bioimaging sits at the intersection of these developments.

Topics of interest include, but are not limited to:

• Machine learning and AI methods for bioimage analysis, reconstruction, restoration, and interpretation
• Physics-informed, generative, and hybrid models for biological imaging
• Multimodal, multiscale, and spatiotemporal bioimaging approaches
• Computational methods for image-based phenotyping, cell and tissue dynamics, and morphogenesis
• Learning from limited, noisy, or weakly annotated biological imaging data
• Scalable, efficient, and reproducible computational pipelines for bioimaging
• Benchmarking, validation, and interpretability of AI models in biological imaging contexts

Why is this collection important?

Computational and AI-driven methods are transforming how biological imaging data are acquired, analysed, and interpreted. By enabling new approaches to image reconstruction, quantitative analysis, and biological discovery, these methods are helping researchers extract deeper insight from increasingly complex datasets.

This Collection provides a dedicated venue for high-quality research that advances computational and AI-driven methods for biological imaging while remaining grounded in real biological questions and datasets.

Why submit to a collection?

Collections like this one help promote high-quality science. They are led by In-House Editors who are experts in their fields and supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores, and provide a one-stop-shop on a cutting-edge topic of interest.

Who is involved?

Communications AI & Computing is edited by in-house professional editors and Editorial Board Members.

How can I submit my paper?

Visit the Collection page to find out more about this collection and submit your article.