Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality ...

Selecting the right deconvolution method to analyze the composition of complex mixtures of cells just got easier. Researchers derived clear guidelines scientists can use to determine the deconvolution ...

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 paper develops nonparametric deconvolution density estimation over SO(N), the group of N × N orthogonal matrices of determinant 1. The methodology is to use the group and manifold structures to ...

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; ...

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 ...

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 ...