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Borosilicate Glass Microplates Improve Imaging Sensitivity

Porvair Sciences new Krystal™ Glass Bottom microplate with high quality specialty glass from Schott provides unmatched performance for whole-plate CCD imaging and laser detection applications. Click to read more.

Combined technique using diamond probes for nanoscale imaging of magnetic vortex structure

Credit: photo/©: Arne Wickenbrock, JGU Obtaining a precise understanding of magnetic structures is one of the main objectives of solid-state physics. Significant research is currently being undertaken in this field, the aim being to develop future data processing applications that use tiny magnetic structures as information carriers. Physicists at Johannes Gutenberg University Mainz (JGU) and the Helmholtz Institute Mainz (HIM) recently presented a new method for investigating magnetic structures combining two different techniques. This allows to measure and map the magnetization as well as the magnetic fields of the sample. Involved in the project were atomic physicists from the work group led by Professor Dmitry Budker and the team of experimental solid-state physicists led by Professor Mathias Kläui. The findings have been published in

A liquid crystal walks into an optical resonator: new Skoltech research helps model future optoelect

Credit: Timur Sabirov/Skoltech Researchers at Skoltech and their colleagues proposed a photonic device from two optical resonators with liquid crystals inside them to study optical properties of this system that can be useful for future generations of optoelectronic and spinoptronic devices. The paper was published in the journal Physical Review B. The simplest kind of optical resonator consists of two mirrors directly opposite each other, squeezing light between them. When you stand inside a mirror resonator, you see infinite copies of yourself in the mirrors; when a liquid crystal - the kind in your computer and smartphone screen - is placed into a much smaller and a bit more complex resonator, interesting things tend to happen. Since the orientation of the liquid crystal molecules can be changed by applying an electric current, researchers were able to control various characteristics of light propagation inside the resonator and, in some sense, simulate the operation of elec

Jenoptik achieves biggest improvement among firms particpating in German Women Career Index

Jenoptik achieves biggest improvement among firms particpating in German Women Career Index Date Announced: 09 Mar 2021 Firm says it is driving cultural change and shows the greatest leap forward among all participants. Jena, Germany With measures for more diversity, such as specific targets for a group-wide diversity rate and the signing of the German “Diversity Charter”, the Jenoptik Group is driving cultural change and shows the greatest leap forward among all participants with plus 11 points. Maria Koller, Executive Vice President, Head of Global Human Resources, and Leslie Iltgen, Vice President Investor Relations & Communications, received the award at the digital FKi Conference on March 4, 2021.

Innovative flat optics will usher the next technological revolution and will touch all of us

 E-Mail IMAGE: a. Ultraflat optics manufacturing pipeline. b. Example of basic optical components for polarization control. The top panel presents an experimental comparison with commercial devices available from Thorlabs and Newport catalogues.. view more  Credit: by Andrea Fratalocchi In a new paper published in Light Science & Application, the group led by Professor Andrea Fratalocchi from Primalight Laboratory of the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, introduced a new patented, scalable flat-optics technology manufactured with inexpensive semiconductors. The KAUST-designed technology leverages on a previously unrecognized aspect of optical nanoresonators, which are demonstrated to possess a physical layer that is completely equivalent to a feed-forward deep neural network.

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