The AI4Life partners meeting in Heidelberg to kick-off the project.

During the kick-off meeting in October 2022, the AI4Life project partners discussed and identified various topics that the team will be tackling over the next 3 years. Following up on the […]

The BioImage Archive (BIA), EMBL-EBI’s data resource for open life sciences image data, provides general-purpose deposition services for any imaging dataset accompanying a publication, as well as reference image data. […]

Hackathon focused on improving the accessibility of Deep Learning models in Java-based image analysis software tools. 

Wondering how to make the most out of your bioimaging data?

Join us for a free, online workshop that will introduce the FAIR (Findable, Accessible, Interoperable and Reusable) principles, focusing on their implementation for bioimaging data.

Speakers will include representatives from Euro-BioImaging, BioImage Archive, the AI4Life project, and more … Our special guest, Katrín Möller, a post-doctoral researcher at Biomedical Center of the University of Iceland, will share her personal story of depositing her microglia dataset on the BioImage Archive.

The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]

AI4Life and the BioImage Model Zoo (Anna Kreshuk).

The Defragmentation Training School 2 is addressed to the new generation of bioimage analysts and will take place from the 8th to the 12th of May 2023. The training school […]

The course is designed to provide an introduction to the fundamentals of machine learning and deep learning, as well as an understanding of when and how these methods are suitable […]

The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]

This meeting will be the fourth instalment of our highly successful Cell Dynamics Meeting series, and will focus on ‘Imaging Cell Dynamics’. Emphasis will be placed on researchers addressing biological […]

This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of […]