Results 81 to 90 of about 2,688,199 (290)
A closed U‐shaped microfluidic platform symmetrically embeds a single, size‐controlled HT29 colorectal cancer spheroid within a GFP‐HUVEC‐laden fibrin matrix. HT29 spheroids are associated with hyper‐branched endothelial network remodeling, while vascularized co‐culture is accompanied by anisotropic protrusive growth and EMT‐like marker changes in the ...
G. Cretti +4 more
wiley +1 more source
Liquid‐Crystal‐Based Reconfigurable Intelligent Surface for 7 GHz Mobile Communication
The glass‐based liquid‐crystal reconfigurable intelligent surface (LC‐RIS) integrates active‐matrix driving and blind‐greedy phase optimization within a 5G‐NR OFDM framework. This enables continuously tunable and autonomous enhancement of wireless coverage. Leveraging the transparency and manufacturability of liquid crystal panels, it is ideally suited
Tien‐Lun Ting +5 more
wiley +1 more source
Super-resolution (SR) techniques present a suitable solution to increase the image resolution acquired using an ultrasound device characterized by a low image resolution. This can be particularly beneficial in low-resource imaging settings.
Hafida Boumeridja +8 more
doaj +1 more source
Contrastive Degradation-Aware Mamba Network for Blind Image Super-Resolution*
Blind image super-resolution (BISR) aims to recover high-resolution images from low-resolution inputs with unknown degradations. Existing degradation representation learning methods usually construct positive pairs from local patches of the same degraded
Ke Gang, Ye Guangzi
core +1 more source
Blind Image Super-resolution with Rich Texture-Aware Codebooks [PDF]
Blind super-resolution (BSR) methods based on high-resolution (HR) reconstruction codebooks have achieved promising results in recent years. However, we find that a codebook based on HR reconstruction may not effectively capture the complex correlations ...
Qin, Rui +4 more
core
Blind Image Super Resolution Using Deep Unsupervised Learning
The goal of single image super resolution (SISR) is to recover a high-resolution (HR) image from a low-resolution (LR) image. Deep learning based methods have recently made a remarkable performance gain in terms of both the effectiveness and efficiency ...
Xian-Hua Han +2 more
core +1 more source
Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang +5 more
wiley +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
Generalized Expectation Maximization Framework for Blind Image Super Resolution [PDF]
Learning-based methods for blind single image super resolution (SISR) conduct the restoration by a learned mapping between high-resolution (HR) images and their low-resolution (LR) counterparts degraded with arbitrary blur kernels. However, these methods
Shen, Yuan, Wang, Zhiming, Li, Yuxiao
core +1 more source
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source

