Understanding protein function on a genome-wide scale is one of the central goals of biology 1. A fundamental task associated with this goal is the elucidation of cellular functional and interaction ...

Imaging in thick biological tissues is often degraded by sample-induced aberrations, which reduce resolution and contrast, particularly in super-resolution techniques. While hardware-based adaptive ...

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 ...

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 ...

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; ...

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 ...

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 ...

Biomedical scientists are increasingly using deconvolution methods, those used to computationally analyze the composition of complex mixtures of cells. One of their challenges is to select one method ...