Coherent Diffraction Imaging

Coherent diffraction imaging (CDI) aims to reconstruct high-resolution images of objects from their diffraction patterns, overcoming limitations of traditional optical microscopy. Current research heavily emphasizes developing advanced phase retrieval algorithms, including iterative methods enhanced by deep learning architectures like neural networks (e.g., coordinate-based networks, generative models) to improve speed, accuracy, and robustness to noise, particularly in low-light conditions. These advancements are significantly impacting various fields, enabling faster and higher-resolution imaging in applications ranging from materials science and biology to X-ray microscopy and astronomy.