Provide practical KPIs to monitor, including FA hit rate (percent of FAs that find root cause) and time to address yield ...

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

Abstract: This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band ...

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.

I am currently working with the GC-MS workflow in mzmine and have a doubt regarding the type of deconvolution implemented in the module "GC-EI spectral deconvolution". I have searched through the ...

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 ...

A new publication from Opto-Electronic Advances, 10.29026/oes.2024.230020 discusses revolutionizing OCT imaging. Deconvolution, an essential method widely employed in various optical imaging ...

Abstract: The deconvolution method is crucial for enhancing seismic resolution. Traditional multichannel schemes incorporate lateral constraints to enhance data continuity and integrity. However, a ...

DeMixSC is a generalizable framework designed to leverage a small benchmark dataset for bulk RNA-seq deconvolution. Please refer to our accepted manuscript at Genome Research for details. Adjustment: ...