Abstract: The deconvolution algorithm is effective in eliminating interference components, but it is prone to being influenced by impulse interference, resulting in suboptimal performance in early ...

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...

It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there ...

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.

Open the sc_deconvolution.Rmd file to continue with the code. You have all the necessary R libraries and input data in your virtual machine. -Avila Cobos, F., Alquicira-Hernandez, J., Powell, J.E. et ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

Cell type deconvolution is one of the early and critical steps in the analysis and integration of spatial omic and single cell gene expression datasets, and there are already many approaches proposed ...

Abstract: Blind deconvolution has been demonstrated to be an effective tool for rolling element bearing localized defect detection. However, the successful utilization of deconvolution methods largely ...