Results 51 to 60 of about 25,862 (211)
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
Real-time multiframe blind deconvolution of solar images
The quality of images of the Sun obtained from the ground are severely limited by the perturbing effect of the turbulent Earth's atmosphere. The post-facto correction of the images to compensate for the presence of the atmosphere require the combination ...
Ramos, A. Asensio +2 more
core +1 more source
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan +12 more
wiley +1 more source
Progressive Blind Deconvolution [PDF]
We present a novel progressive framework for blind image restoration. Common blind restoration schemes first estimate the blur kernel, then employ non-blind deblurring. However, despite recent progress, the accuracy of PSF estimation is limited. Furthermore, the outcome of non-blind deblurring is highly sensitive to errors in the assumed PSF. Therefore,
Rana Hanocka, Nahum Kiryati
openaire +1 more source
Corneal nerve regeneration is critical to corneal wound healing processes. The current study reveals a novel role of MG53 in promoting corneal nerve regeneration after alkali induced injury. Mechanistically, MG53 enters macrophages via its receptor, MPEG1, promotes MVP K63 ubiquitination, and triggers STAT6 induced repair‐related genes expression ...
Peng Chen +14 more
wiley +1 more source
Seismic Blind Deconvolution Based on Self-Supervised Machine Learning
Seismic deconvolution is a useful tool in seismic data processing. Classical non-machine learning deconvolution methods usually apply quite a few constraints to both wavelet inversion and reflectivity inversion.
Xia Yin +3 more
doaj +1 more source
In non‐cooperative scenarios, the spreading sequences or waveforms of the direct sequence spread spectrum (DSSS) signals is unknown to the receiver.
Liangliang Li +4 more
doaj +1 more source
Extended object reconstruction in adaptive-optics imaging: the multiresolution approach
We propose the application of multiresolution transforms, such as wavelets (WT) and curvelets (CT), to the reconstruction of images of extended objects that have been acquired with adaptive optics (AO) systems.
Gallé, Roberto Baena +2 more
core +1 more source
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon +21 more
wiley +1 more source
Blind source separation methods for deconvolution of complex signals in cancer biology
Two blind source separation methods (Independent Component Analysis and Non-negative Matrix Factorization), developed initially for signal processing in engineering, found recently a number of applications in analysis of large-scale data in molecular ...
Kairov, Ulykbek +3 more
core +1 more source

