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 ...

Discover the latest articles and news in related subjects. To date, pools of 8 baits or more have been used to screen yeast two-hybrid arrays 6,13. In these approaches, secondary small-scale screens ...

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 ...

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 ...

This course teaches deconvolution theory and how to use it to identify co-eluting and sub-baseline peaks in GC-MS data. If you need to understand how deconvolution works and how it will benefit your ...

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 ...