In last month’s column, we looked at the theory of deconvolution. This month, we’ll explore a hands-on application. Our goal will be to deconvolve a slightly blurred image and make it look sharp. Be ...

Deconvolution is a computational technique of increasing the resolution and SNR (signal to noise ratio) of images captured on an imaging system. Its use existed before the extensive use of confocal ...

This is a preview. Log in through your library . Abstract A modified version of the CLEAN deconvolution technique, incorporating a noise model, has been tested on simulated HST data. This ...

A new publication from Opto-Electronic Advances, 10.29026/oes.2024.230020 discusses revolutionizing OCT imaging. Deconvolution, an essential method widely employed in various optical imaging ...

Helping drive research forward at a faster rate, Olympus cellSens 2.1 speeds up image analysis with improved capabilities for flexible camera and microscope control. The updates ensure cellSens ...

Scientists have devised deep-learning and other approaches that dramatically reduce image-analysis times by orders of magnitude -- in some cases, matching the speed of image data acquisition itself. A ...

A series of short-exposure images are often used for rich, small-scale structure, high-quality, and high-resolution astronomical observations. Postprocessing of the closed-loop adaptive optics (AO) ...