Machine Learning and AI in Enhancing Image Analysis of 3D Samples
Posted: 7 July 2025 | Drug Target Review | No comments yet
Want to understand the real impact of AI in 3D sample analysis? This episode cuts straight to how machine learning is accelerating research and overcoming current limitations.
This episode, ‘Machine Learning and AI in Enhancing Image Analysis of 3D Samples,’ explores how machine learning and AI are becoming indispensable tools in advancing 3D image analysis. These powerful technologies are transforming research workflows, enabling faster processing and delivering deeper insights into complex biological samples like never before.
Join us to hear from leading experts, Professor Jens Christian Schwamborn of the University of Luxembourg and Professor Christophe Deben of the University of Antwerp. They’ll address the current limitations of 3D sample analysis and explain precisely how AI is breaking down these barriers – significantly cutting processing times and revealing previously hidden information.
In this episode, we discuss:
- Why researchers are increasingly adopting machine learning and AI for 3D image analysis
- The limitations of current 3D imaging technologies and how AI is improving their capabilities
- How the growing availability of large datasets is accelerating the shift to AI-powered image analysis
- The potential breakthroughs AI could bring to the field of 3D sample analysis
This podcast is brought to you in association with Molecular Devices. With its innovative life science technology, Molecular Devices makes scientific breakthroughs possible for academic, pharmaceutical, government and biotech customers. Head to moleculardevices.com to find out more.
About our guests
Professor Jens Christian Schwamborn
In 2002, Jens obtained a diploma in Biochemistry from the University of Witten/Herdecke in Germany and in 2005 a PhD in Biology from the University of Muenster in Germany. He worked as a postdoctoral researcher at the Institute for Molecular Biotechnology in Vienna, Austria. Since 2013, Jens has been the head of the Developmental and Cellular Biology group at the Luxembourg Centre for Systems Biomedicine (LCSB) and a Professor at the University of Luxembourg. In 2019, Jens co-founded OrganoTherapeutics SARL, where he currently serves as CEO. Prior to this, he was co-founder and CSO of Braingineering Technologies SARL (2016-2018). Over the past few years, his work has focused on Neurobiology, Stem Cell research, and Parkinson’s disease. In particular, he is interested in using human induced pluripotent stem cells for the development of brain organoid and assembloid models, which are used for in vitro disease modelling.
Professor Christophe Deben
Professor Deben is the head of the Tumoroid Screening Lab at the University of Antwerp, which focuses on improving 3D in vitro modelling of patient tumours for translational research, primarily through the use of live-cell imaging and omics technologies. He established a patient-centered ecosystem built on four interconnected pillars: the UZA/UAntwerp tumor organoid biobank; Orbits Oncology, a spin-off developing an automated image and data analysis platform for functional precision medicine and prediction of patient therapy response; DrugVision.AI, a university-based high-throughput screening facility supporting both academic and industry partners; and Sightera Biosciences, a techbio company that leverages the other three pillars to generate high-quality training data for AI-driven drug discovery and development. Through this integrated platform, his work bridges advanced biological models and artificial intelligence to accelerate precision medicine in oncology. Publications and webinars: www.drugvision.ai/blog.
Related topics
Analysis, Artificial Intelligence, Big Data, Bioinformatics, Computational techniques, Machine learning, Microscopy, Organoids, Research & Development
Related organisations
Molecular Devices, University of Antwerp, University of Luxembourg
