As the number of cores in a processor continues to grow, so too does the challenge of connecting them all together. Traditional electrical networks fall short due to latency, limited bandwidth, and high-power consumption. ...
The bioactivity of most near-infrared II (NIRII) fluorophores are limited, thereby conflicting the achievement of strong fluorescence and high catalytic activities, due to a lack of free electrons in the method.
Compared with the purified protein in vitro, intracellular biological macromolecules present a more complete and physiological conformation. Therefore, studying the three-dimensional structure of protein directly in vivo ...
To develop advanced materials, a deep understanding of their underlying microstructure and chemistry is necessary. Knowing how defects influence the interplay between microstructure and chemical composition is crucial, as ...
Quantum teleportation allows quantum information to be transferred to a remote location by using quantum entanglement and classical communication. It has been achieved with varying rates of independent photons of quantum ...
BESSY II's high-brilliance X-rays can be used to produce microscopic images with spatial resolution down to a few tens of nanometers. Whole cell volumes can be examined without the need for complex sample preparation as in ...
Using cryo-electron tomography, researchers have uncovered details of how the dynein motor protein drives cilia to beat. Understanding this motion may help to tackle health problems that affect cilia, which range from fertility ...
As a prominent form of amyloid protein, tau aggregates have emerged as a primary focus of research for uncovering the mechanisms underlying neurodegeneration. Various types of tau aggregates, including tau fibrils and oligomers, ...
A study developed by researchers from the Universitat Politècnica de València (UPV), associated with the Nanophotonics Technology Center (NTC) and the company DAS Photonics, promises to revolutionize the design of so-called ...
Researchers from MIT and Argonne National Laboratory have developed a machine learning technique that could greatly accelerate the process of nanoscale X-ray imaging of integrated circuits, potentially revolutionizing the ...
