Advanced Technologies and Computational Methods in Imaging Across Scales and Modalities

Image science focuses on developing innovative strategies to acquire images and extract information with the highest possible accuracy and resolution. Traditionally rooted in optical imaging, the conference also explores common concepts in other modalities such as acoustics, MRI, X-ray, and microwave imaging. In challenging imaging scenarios, ranging from complex biological samples to astronomy, obtaining an image is not straightforward. It requires advanced physical concepts to design optimal imaging systems and measurement strategies. Additionally, leveraging novel technological developments in instrumentation, particularly in modulators and detectors, is crucial. Computational tools, from signal processing to modern machine learning techniques, enhance and accelerate imaging, even enabling it in scenarios previously deemed impossible. The ongoing AI revolution offers new ways to interpret data from imaging systems but also presents its own set of challenges and pitfalls. A key aspect is therefore to achieve the best quantitative accuracy while enhancing the task-based performance.

The 2026 Gordon Research Conference on “Image Science” will convene leading experts from academia and industry to share their perspectives on these overarching problems.