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 ...

Spot-based spatial transcriptomics platforms capture gene expression at defined tissue coordinates, but each measurement spot typically encompasses more than one cell. Spatial deconvolution addresses ...

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 ...

In a study published in Nature Methods, a research team led by Prof. Qu Kun from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has benchmarked 16 spatial ...

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 ...

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 ...

The prognostic impact of epilepsy in glioblastoma: Insights from a systematic review and meta-analysis. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This abstract does not ...

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 ...