Bioluminescence imaging has become an indispensable technology in modern biological research, offering high sensitivity, a wide dynamic range, and the ability to visualize cellular processes in living systems with minimal phototoxicity and negligible excitation-induced background. Yet conventional approaches are fundamentally constrained by their reliance on exogenously supplied substrates such as luciferin. Because these substrates are gradually consumed and can distribute unevenly in tissues, signal intensities decay over time and spatial uniformity is compromised, complicating long-term, quantitative imaging—particularly in three-dimensional samples…

🔬👨‍💻 How Generative Artificial Intelligence Impacts BioImage Data Science. Join us for an engaging talk by Robert Haase (Global BioImage Analysis Network, GloBIAS, University of Leipzig) on March 6 at the Faculty of Health and Medical Sciences, UCPH. In this talk we dive into Large Language Models (LLMs) and Vision Language Models (VLMs) for Bio-image Analysis. We will learn about their capabilities for object counting, pointing at objects and drawing bounding boxes around them. We also dive into VLMs deciding…

  The 9th Danish BioImaging Scientific Symposium will be held in central Copenhagen, Denmark on the 7th – 8th of May at the Danish Cancer Institute (DCI). This year, the symposium will emphasize advancing cancer research through imaging technologies and it will be divided in three sections: Image Analysis, Microscope Techniques and Scientific Cancer research. The Symposium will cover microscopy and state-of-the-art imaging technologies and image analysis tools used in cancer research and other disease fields. Invited speakers Guillaume Jacquemet, group leader at the Turku Bioscience…