Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Abstract: Image blurring due to factors like light, motion, and humidity presents a significant challenge in image processing, particularly in practical applications like satellite imaging, medical ...

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...

Nearly a century ago, Ernst Ruska and Max Knoll provided the first demonstration of a microscope that could image specimens using electrons rather than light. The earliest images obtained via this ...