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.
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 ...
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 ...
SCHLIEREN, Switzerland--(BUSINESS WIRE)--Biognosys is pleased to announce the publication of new research findings in Nature Communications on the utility of its LiP technology and workflow for drug ...
This paper develops nonparametric deconvolution density estimation over SO(N), the group of N × N orthogonal matrices of determinant 1. The methodology is to use the group and manifold structures to ...
formulations is centered around data interpretation. In this four-part white paper Never miss a story ...
Agilent Technologies Inc. has announced it has added optimized target deconvolution capabilities to its powerful MassHunter Workstation Software. MassHunter Quantitative Analysis software with Target ...
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