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Month: August 2025

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AI4Life & Leica deepen collaboration: 22 New BioImage.IO models now available in AIvia 15

AI4Life & Leica deepen collaboration: 22 New BioImage.IO models now available in Aivia 15

Leica Microsystems has rolled out Aivia 15, the newest version of its AI-driven image analysis software. Among its enhancements are 22 additional pre-converted BioImage.IO models

The release of Aivia 15 with its 22 new BioImage.IO models represents an important step in AI4Life’s mission to make AI-driven tools more accessible to life science researchers. With an improved interface, faster performance, and direct integration of community-curated models, Aivia 15 makes it easier for users to apply AI in their everyday workflows.

As part of the ongoing AI4Life–Leica collaboration, Aivia 15 now offers drag-and-drop support for 22 additional BioImage.IO models, bringing the total to 26 pre-converted models ready to use in Aivia’s recipe console.

This builds on the first phase of the collaboration launched in July 2023, when AI4Life and Leica began working together to make BioImage Model Zoo models interoperable with Aivia by converting them into a format directly usable within the software. You can read more about the initial collaboration here
https://ai4life.eurobioimaging.eu/ai4life-leica-collaboration/

By integrating these new models, AI4Life connects community-driven developments with industry users, broadening the choice of available models and supporting more reproducible research.

 

More information:

https://www.aivia-software.com/post/pancreatic-phase-contrast-cell-segmentation-bioimage-io

https://www.leica-microsystems.com/company/news/news-details/latest-ai-software-simplifies-image-analysis-and-speeds-up-insights-for-scientists/

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AI4Life & GloBIAS webinar series: 4 webinars covering the whole AI4Life ecosystem

AI4Life & GloBIAS webinar series: 4 webinars covering the whole AI4Life ecosystem

From February to August 2025, AI4Life joined forces with GloBIAS to host a 4-part webinar series, exploring how AI is transforming bioimage analysis — from accessing pre-trained models to building reproducible infrastructures and running open calls for the life sciences community.

The series ran every second month, on the second Thursday at 4 pm CE(S)T, and brought together experts from the AI4Life consortium to share practical tools and lessons learned. All sessions were recorded and are freely available on the AI4Life YouTube channel.

We were thrilled to welcome more than 200 registered participants across the series, with an average of 30–40 attendees per session, tuning in from across the globe.

Webinar 1 — AI4Life: What can it do for you and your images?

Speakers: Anna Kreshuk (EMBL), Wei Ouyang (SciLifeLab)
Chair: Beatriz Serrano-Solano (Euro-BioImaging)

This kick-off session introduced AI4Life and the BioImage Model Zoo. Anna and Wei walked us through “killer features” the unified model metadata standard, and how community tools like ilastik, Icy, and BiaPy can all run these models.

Webinar 2 — Towards FAIR and high-quality AI-ready data for bioimage analysis

Speakers: Teresa Zulueta-Coarasa (EMBL-EBI), Estibaliz Gómez de Mariscal (Human Technopole)
Chair: Ana Stojiljkovic (University of Bern)

All about annotated image datasets FAIR and ready for AI. Teresa presented the BioImage Archive’s approach to curating and annotating datasets, while Estibaliz shared insights on ensuring data quality and robust evaluation in the deep learning era.

Webinar 3 — Building scalable and reproducible AI infrastructure for Bioimaging

Speakers: Wei Ouyang (SciLifeLab), Iván Hidalgo-Cenalmor (BSC)
Chair: Marco dalla Vecchia (CNRS)

This session featured two complementary platforms:
– BioEngine: deploy and run BioImage Model Zoo models locally or institution-wide, with minimal hassle.
– DL4MicEverywhere: containerised workflows for reproducible, portable deep learning across Google Colab, desktops, and HPC clusters.

Webinar 4 — Lessons learned from 3 years of open calls and challenges

Speakers: Vera Galinova (HT), Mehdi Seifi (HT), Caterina Fuster-Barceló (UC3M)
Chair: Florian Jug (HT)

A behind-the-scenes look at AI4Life’s open calls and challenges: what worked, what we learned, and how our experiences can help image analysis facilities worldwide.

Although the AI4Life project is about to conclude, the recordings remain a rich resource for anyone interested in AI for microscopy and bioimaging.

 

Watch more content on the AI4Life YouTube channel: https://www.youtube.com/@ai4life