Results 61 to 70 of about 1,053,214 (335)

Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data

open access: yesPhotoacoustics, 2020
Medical image reconstruction methods based on deep learning have recently demonstrated powerful performance in photoacoustic tomography (PAT) from limited-view and sparse data.
Tong Tong   +7 more
doaj   +1 more source

Single Image Super-Resolution Reconstruction with Preservation of Structure and Texture Details

open access: yesMathematics, 2023
In recent years, deep-learning-based single image super-resolution reconstruction has achieved good performance. However, most existing methods pursue a high peak signal-to-noise ratio (PSNR), while ignoring the quality of the structure and texture ...
Yafei Zhang   +4 more
doaj   +1 more source

Reconstructing Images from Projections Using the Maximum-Entropy Method. Numerical Simulations of Low-Aspect Astrotomography

open access: yes, 2007
The reconstruction of images from a small number of projections using the maximum-entropy method (MEM) with the Shannon entropy is considered. MEM provides higher-quality image reconstruction for sources with extended components than the Hogbom CLEAN ...
A. T. Baikova   +17 more
core   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters

open access: yes, 2017
As the world's largest radio telescope, the Square Kilometer Array (SKA) will provide radio interferometric data with unprecedented detail. Image reconstruction algorithms for radio interferometry are challenged to scale well with TeraByte image sizes ...
carrillo   +8 more
core   +2 more sources

Establishment and optimization of the two‐step induction system for generating primordial germ cell‐like cells from chicken embryonic stem cells

open access: yesFEBS Open Bio, EarlyView.
This study optimizes a two‐step induction system to generate PGCLCs from chicken ESCs. The induced cells express germline markers and migrate to gonads in ovo, offering a novel approach for avian genetic resource conservation. Primordial germ cells (PGCs) are the progenitor cells of sperm and eggs.
Zeyu Li   +10 more
wiley   +1 more source

Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints

open access: yesSensors, 2021
Terahertz time domain spectroscopy imaging systems suffer from the problems of long image acquisition time and massive data processing. Reducing the sampling rate will lead to the degradation of the imaging reconstruction quality.
Xiaozhen Ren, Yuying Jiang
doaj   +1 more source

Compact Model Representation for 3D Reconstruction

open access: yes, 2017
3D reconstruction from 2D images is a central problem in computer vision. Recent works have been focusing on reconstruction directly from a single image.
Eriksson, Anders   +5 more
core   +2 more sources

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

open access: yesFEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini   +2 more
wiley   +1 more source

Super-resolution reconstruction for a single image based on self-similarity and compressed sensing

open access: yesJournal of Algorithms & Computational Technology, 2018
Super-resolution image reconstruction can achieve favorable feature extraction and image analysis. This study first investigated the image’s self-similarity and constructed high-resolution and low-resolution learning dictionaries; then, based on sparse ...
Qiang Yang, Huajun Wang
doaj   +1 more source

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