Abstract: This paper presents a deconvolution algorithm for high resolution acoustic imaging, specifically tailored for small-element acoustic vector-sensor (AVS) arrays. While existing fourth-order ...

High-energy gamma-ray spectroscopy is crucial for studying and advancing the application of high-energy photons in areas like strong-field physics, high-energy-density science, and laboratory ...

We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular ...

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 ...

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 ...

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We integrated multi-cohort transcriptomic data from TCGA and GEO databases and applied a machine learning triad (LASSO-SVM-Random Forest) to identify robust exosomal biomarkers for CRC. Functional ...

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, ...