Announcements, Science Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Perspectives, Science Virginie Uhlmann shares her tips for using deep learning for bioimage analysis in the life sciences.
2022
perspectivesscience
Science EMBL scientists and colleagues have developed an interactive atlas of the entire marine worm Platynereis dumerilii in its larval stage. The PlatyBrowser resource combines high-resolution gene expression data with volume electron microscopy images.
2021
science
Lab Matters The challenges and opportunities when setting up a global archive for bioimages
2021
lab-matters
Lab Matters The Chan Zuckerberg Initiative has recognised four EMBL researchers with their most recent awards, showing how tech trailblazers are integral to advancing science and medicine.
2020
lab-matters
Science Starting with computer code and moving on to a more user-friendly graphical interface called PlantSeg, the Kreshuk Group at EMBL and collaborators built a simple open-access method to provide the most accurate and versatile analysis of plant tissue development to date.
2020
science
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