Computational microscopy is vital in biomedicine and materials science. Traditional methods struggle with optical aberrations, noise interference, and differences between physical models and real-world imaging, reducing the resolution and accuracy. They rely on pixel-level optimization, which fails to maintain high-quality imaging in complex environments. Therefore, developing a precise and stable computational imaging approach has become a research focus. Computational microscopy is vital in biomedicine and materials science. Traditional methods struggle with optical aberrations, noise interference, and differences between physical models and real-world imaging, reducing the resolution and accuracy. They rely on pixel-level optimization, which fails to maintain high-quality imaging in complex environments. Therefore, developing a precise and stable computational imaging approach has become a research focus. Biotechnology Molecular & Computational biology Phys.org – latest science and technology news stories
Novel high-fidelity computational microscopy uses stable features for clearer imaging
