Results 71 to 80 of about 6,103 (201)
Single‐Particle Characterization Reveals Heterogeneous Extracellular Vesicle Fusion with Liposomes
This study used five orthogonal single‐particle techniques to compare how common mechanical methods fuse extracellular vesicles with liposomes. By quantifying fused‐particle yield, purity, and vesicle integrity, we found that freeze‐thaw and sonication generated the highest fusion but that all methods introduced membrane perturbation or damage.
Rachel R. Mizenko +6 more
wiley +1 more source
Noninvasive imaging of amyloid‐beta and tau in rodent and nonhuman primate models
Imaging of amyloid‐beta plaque and tau accumulation in rodent and nonhuman primate model of Alzheimer's disease. Created in BioRender. Ni R. 2026. https://BioRender.com/a97h5ec Abstract Neurodegenerative diseases are characterized by the aberrant accumulation of protein aggregates.
Ruiqing Ni, Axel Rominger
wiley +1 more source
Advances in high‐resolution photoacoustic imaging techniques for cellular visualization
Photoacoustic imaging has gained increasing attention for its potential in high‐resolution microscopy, particularly in the context of cellular visualization. This review highlights recent advancements in high‐resolution photoacoustic imaging techniques aimed at visualizing cellular structures, particularly explore key system configurations, imaging ...
Hyunjun Kye +6 more
wiley +1 more source
Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints
Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj +1 more source
Spectral Unmixing With Perturbed Endmembers
We consider the problem of supervised spectral unmixing with a fully-perturbed linear mixture model where the given endmembers, as well as the observations of the spectral image, are subject to perturbation due to noise, error, mismatch, etc. We calculate the Fisher information matrix and the Cramer-Rao lower bound associated with the estimation of the
openaire +4 more sources
Summary Background and objectives Systemic sclerosis (SSc) is a rare, chronic autoimmune disease characterized by fibrosis of the skin and/or internal organs. Emerging evidence suggests that subcutaneous adipose tissue may contribute to systemic inflammation and fibrosis in SSc.
Marija Geroldinger‐Simić +3 more
wiley +1 more source
Abstract Recently developed secondary nanobodies or single‐domain antibodies present a powerful tool for immunodetection. Unlike traditional antibodies, their monovalence enables pre‐association with primary antibodies prior to sample staining, presenting a straightforward affinity‐based antibody labelling solution.
Rebecca Saleeb +4 more
wiley +1 more source
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is crucial for robotics, augmented reality, simulation, and other applications.
Perez, Fabian +4 more
openaire +2 more sources
Fluorescent proteins: A journey from the cell to extreme environments in material science
Applications of proteins and microorganisms as tools or effectors in material science. Abstract This review presents the progression from the use of fluorescent proteins (FPs) and chromoproteins as bioimaging labels and sensors to the strategic engineering of their properties for robust functionality in synthetic and non‐biological environments ...
Bianca Menchicchi +3 more
wiley +1 more source
Hyperspectral Unmixing With Multi-Scale Convolution Attention Network
Hyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance.
Sheng Hu, Huali Li
doaj +1 more source

