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 ...
I saw a strange behavior of the new Deconvolution Object-only algorithm (GraXpert 3.1.0rc2): if you look at the resulting image that has been stretched in Gimp (see image 2025-10-14 ...
Background: Bladder cancer (BLCA) continues to be a significant cause of cancer mortality in the urinary tract, with therapeutic resistance representing a major barrier to improving patient outcomes.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...
Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
This repository contains data and scripts required for reproducing the results presented in the paper Calibration-free single-frame super-resolution fluorescence microscopy by Anežka Dostálová, ...
Abstract: Deconvolution algorithms often rely on conventional beamforming methods to obtain beamforming vectors, which limit their resolution. To enhance parameter estimation resolution, this article ...
According to a study published in Advanced Photonics, researchers at Zhejiang University in China, led by Prof. Delong Zhang, have developed a new approach that represents a significant advancement in ...
SIMIP enables high-resolution images rich in both chemical and spatial information. A quantum cascade laser (QCL) excites molecular vibrations while a spatial light modulator (SLM) generates striped ...
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