Novel algorithm successfully improves microscopy resolution through pixel reassignment

Obtaining high-resolution images in the world of microscopy has long been a challenge. Deconvolution, a method to enhance image clarity, often amplifies noise between the sample and the image. Researchers at Boston University have recently developed a novel deblurring algorithm that avoids these issues, improving the resolution of images with photon intensity conservation and local linearity. As reported in Advanced Photonics, the innovative deblurring algorithm is adaptable to various fluorescence microscopes, requiring minimal assumptions about the emission point spread function … Continue reading Novel algorithm successfully improves microscopy resolution through pixel reassignment