Results 71 to 80 of about 24,117,299 (286)
Metastatic niche shaped by host factors influences disseminated cancer cell fate
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
wiley +1 more source
Low-Light Image Enhancement Method Based on Retinex Theory by Improving Illumination Map
Recently, low-light image enhancement has attracted much attention. However, some problems still exist. For instance, sometimes dark regions are not fully improved, but bright regions near the light source or auxiliary light source are overexposed.
Xinxin Pan +5 more
doaj +1 more source
Unsupervised Low-Light Image Enhancement via Virtual Diffraction Information in Frequency Domain
With the advent of deep learning, significant progress has been made in low-light image enhancement methods. However, deep learning requires enormous paired training data, which is challenging to capture in real-world scenarios.
Xupei Zhang +5 more
core +1 more source
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source
Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement
Unsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate ...
Jianfeng Zhang +2 more
doaj +1 more source
Non-linear Low-Light Image Enhancement Based on Fusion Color Model Space
Lowlight images have problems such as low overall brightness of the image, uneven brightness, high color saturation, and image blur. To address these problems, a lowlight image enhancement algorithm fusing color model space is proposed, in which the ...
LIU Shou-Xin +3 more
doaj
DNA ligase LigE increases bacterial transformation with damaged extracellular DNA
The DNA ligase LigE from the naturally competent Gram‐negative bacterium Neisseria gonorrhoaea increases transformation with cut extracellular DNA. This process is ATP‐dependent and relies on the catalytic activity of LigE; it also requires that LigE contains an intact periplasmic localisation sequence, indicating that ligE functions in the periplasm ...
Jolyn Pan +4 more
wiley +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
doaj +1 more source
Low-light Image Enhancement via Multispectral Reconstruction
Low-light images often fail to accurately capture color and texture, limiting their practical applications in imaging technology. The use of low-light image enhancement technology can effectively restore the color and texture information contained in the
Xin, L. +5 more
core +1 more source

