Results 101 to 110 of about 1,341,334 (344)
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke+2 more
wiley +1 more source
Mathematical model based on fractional trace operator for COVID-19 image enhancement
The medical image enhancement is major class in the image processing which aims for improving the medical diagnosis results. The improving of the quality of the captured medical images is considered as a challenging task in medical image.
Faten Khalid Karim+3 more
doaj
Contrast Enhancement of Microscopy Images Using Image Phase Information
Contrast enhancement is an important preprocessing step for the analysis of microscopy images. The main aim of contrast enhancement techniques is to increase the visibility of the cell structures and organelles by modifying the spatial characteristics of
Serdar Cakir+3 more
doaj +1 more source
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek+15 more
wiley +1 more source
We achieved cytoplasmic delivery of non‐cell‐penetrating IgGs by grafting a single functional complementarity‐determining region 1 (CDR1) from the light chain variable region (VL) of the cell‐internalizable 3D8 antibody. The engineered IgG acquired cell‐penetrating ability while maintaining antigen affinity, highlighting CDR1 grafting as a promising ...
Yerin Jeon+5 more
wiley +1 more source
A Comprehensive Review of Image Enhancement Techniques [PDF]
Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images.
arxiv
Attention-Aware Face Hallucination via Deep Reinforcement Learning
Face hallucination is a domain-specific super-resolution problem with the goal to generate high-resolution (HR) faces from low-resolution (LR) input images.
Cao, Qingxing+4 more
core +1 more source
The protonated form of butyrate, as well as other short‐chain fatty acids (SCFAs), is membrane permeable. In acidic extracellular environments, this can lead to intracellular accumulation of SCFAs and cytosolic acidification. This phenomenon will be particularly relevant in acidic environments such as the large intestine or tumor microenvironments ...
Muwei Jiang+2 more
wiley +1 more source
Aesthetic-Driven Image Enhancement by Adversarial Learning [PDF]
We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks typically involve training models in a fully-supervised manner, which require expensive annotations in the form of aligned image pairs.
arxiv
Curved Gabor Filters for Fingerprint Image Enhancement
Gabor filters play an important role in many application areas for the enhancement of various types of images and the extraction of Gabor features. For the purpose of enhancing curved structures in noisy images, we introduce curved Gabor filters which ...
Gottschlich, Carsten
core +1 more source