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 ...
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 ...
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, ...
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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