Computer microscopy is important in biomedicine and material science. Traditional methods struggle with optical aberration, noise intervention and difference between physical models and real -world imaging, reduce resolution and accuracy. They rely on pixel-level adaptation, which fails to maintain high quality imaging in a complex environment. Therefore, developing an accurate and stable computational imaging approach has become a research focus.
