Results 71 to 80 of about 218,239 (261)

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Cell lineage and cell cycling analyses of the 4d micromere using live imaging in the marine annelid Platynereis dumerilii

eLife, 2017
Cell lineage, cell cycle, and cell fate are tightly associated in developmental processes, but in vivo studies at single-cell resolution showing the intricacies of these associations are rare due to technical limitations.
B Duygu Özpolat, Mette Handberg-Thorsager, Michel Vervoort, Guillaume Balavoine   +3 more
doaj   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

Unsupervised machine learning combined with 4D scanning transmission electron microscopy for bimodal nanostructural analysis

Scientific Reports
Unsupervised machine learning techniques have been combined with scanning transmission electron microscopy (STEM) to enable comprehensive crystal structure analysis with nanometer spatial resolution.
Koji Kimoto, Jun Kikkawa, Koji Harano, Ovidiu Cretu, Yuki Shibazaki, Fumihiko Uesugi   +5 more
doaj   +1 more source

Solving the Crystal Architecture of Coccoliths Using 4D-STEM

Microscopy and Microanalysis
Abstract Marine phytoplankton form functional biominerals with intricate morphologies and architectures. Coccolithophores occupy a special position among these organisms because of their production of intricate calcite scales, called coccoliths.
Rebecca C Leghziel, Lia Addadi, Assaf Gal, Lothar Houben   +3 more
openaire   +2 more sources

Nanoscale mapping of point defects with 4D-STEM

, 2022
Abstract Vacancies are missing atoms in a crystalline material, and occur both at equilibrium (varying with temperature) and out of equilibrium such as when crystalline materials are damaged with radiation or corrosion. While we know of their importance, particularly regarding diffusive mechanisms, it is not straightforward to experimentally ...
Andrew Minor, Sean Mills, Steven Zeltmann, Peter Ercius, Aaron Kohnert, Blas Uberuaga   +5 more
openaire   +1 more source

In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy

Advanced Engineering Materials, EarlyView.
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal, Tae‐Hyeok Kang, Pyuck‐Pa Choi, Subin Lee, Christoph Kirchlechner   +4 more
wiley   +1 more source

On the use of clustering workflows for automated microstructure segmentation of analytical STEM datasets

APL Materials
This study considers the issue of automated segmentation of scanning transmission electron microscopy (STEM) datasets using unsupervised machine learning approaches.
Zhiquan Kho, Andy Bridger, Keith Butler, Ercin C. Duran, Mohsen Danaie, Alexander S. Eggeman   +5 more
doaj   +1 more source

Natural Bone‐Derived Ceramic Scaffolds Functionalized with Chitosan‐Gold, Chitosan‐Magnesium, and Chitosan‐Zinc for Enhanced Antibacterial Activity

Advanced Engineering Materials, EarlyView.
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian, Anh Thi Le, Anh Thi Van Le, Dung My Thi Dang, Tin Chanh Duc Doan, Chien Mau Dang, Martin Bolduc   +6 more
wiley   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen   +2 more
wiley   +1 more source