In this episode, we examine how machine learning and artificial intelligence (AI) are becoming essential tools for improving image analysis of 3D samples. These technologies are reshaping research workflows by making analysis faster and more insightful.

We speak with Professor Jens Christian Schwamborn, Professor of Cellular and Developmental Biology at the University of Luxembourg, and Professor Christophe Deben, Professor of Tumour Biology and Organoids at the University of Antwerp. They share their perspectives on the current challenges in 3D sample analysis and how AI is helping to solve them - reducing processing time and revealing previously inaccessible information.

We'll look at the key reasons behind AI’s growing use in 3D image analysis, identify the limitations of existing imaging technologies, and explore how AI is evolving to handle increasingly complex data. We'll also discuss how the availability of large datasets is accelerating this shift and what breakthroughs AI could enable in the near future.

Machine Learning and AI in Enhancing Image Analysis of 3D Samples

Drug Target Review