这篇综述系统梳理了空间转录组学（ST）中细胞类型反卷积（deconvolution）方法的最新进展，重点对比了各类工具在解析组织微环境细胞组成时的技术特点与应用场景，为研究者选择适配算法提供实用指南。文中强调该方法对揭示发育、疾病中组织空间异质性的 ...

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 ...

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; ...

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 ...

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. MRA helps resolve the dense actin filaments with SIM imaging. b. MRA helps resolve the mitochondrial cristae cluster with LiveSR imaging. c. SecMRA helps better section the ER tubule structure. d.

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 ...