It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there ...

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 ...

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 ...

A new study describes the best method to improve images obtained by the James Webb Science Telescope (JWST) using a mathematical approach called deconvolution. Mason Leist is working remotely -- 127 ...

Reveal the hidden structures in your sample using cellSens imaging software, which includes a wide range of powerful deconvolution tools. Real-time deconvolution can be applied to live images using ...

Based on the noise model of microscopic images and the zero-sample learning theory, researchers led by Prof. Li Dong from the Institute of Biophysics of the Chinese Academy of Sciences, in ...