Recognizing direct relationships between variables connected in a network is a pervasive problem in biological, social and information sciences as correlation-based networks contain numerous indirect ...

Deconvolution is an image processing method in astrophotography designed to reverse blurring effects, such as those caused by atmospheric conditions and optical imperfections, by mathematically ...

Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

The retrospective identification of the drug targets that underlie an observed phenotypic response is termed target deconvolution. Target deconvolution can be achieved by numerous methods including; ...

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 ...

Agilent Technologies Inc. has announced that it has added optimized target deconvolution capabilities to its powerful MassHunter Workstation Software. MassHunter Quantitative Analysis software with ...