High Resolution Imaging

High-resolution imaging aims to capture highly detailed images across various modalities, from microscopy to astronomy, overcoming limitations imposed by sensor technology or environmental factors like scattering. Current research focuses on developing novel algorithms, including physics-informed neural networks, streaming data processing pipelines for novel sensor types, and deep learning approaches like diffusion models and knowledge distillation, to enhance image quality and resolution. These advancements are significantly impacting fields like biomedical imaging, materials science, and astronomy by enabling more precise diagnostics, detailed material characterization, and improved astronomical observations.