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How bacteria grow: Evolutionary differences point to new ways to combat infection

With colleagues from his department as well as the Institut national de la recherche scientifique and Indiana University, Brun’s research team used advanced microscopy techniques and fluorescent probes to track .

The results reveal an unexpected diversity in wall elongation patterns, centered on peptidoglycan synthesis—an important target of several classes of antibiotics, including penicillin.

“What was thought to be a relatively uniform process actually appears to be much more variable, even between very closely related species,” said Brun, the study’s senior author. “This variability may represent new points of fragility that could be exploited to develop new antibiotics.”

Deep-learning system teaches soft, bio-inspired robots to move using only a single camera

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid to operate in confined spaces and uneven terrain. Soft, bio-inspired robots are far better at adapting to their environments and maneuvering in otherwise inaccessible places.

Formal guidelines can enable AI to precisely maneuver and position medical needles

Imagine a physician attempting to reach a cancerous nodule deep within a patient’s lung—a target the size of a pea, hidden behind a maze of critical blood vessels and airways that shift with every breath. Straying one millimeter off course could puncture a major artery, and falling short could mean missing the cancer entirely, allowing it to spread untreated.

This is the high-stakes reality physicians face in thousands of procedures daily, where accuracy is critical and the task is complicated by anatomical obstacles that are non-penetrable or sensitive. Can artificial intelligence (AI) and robots help address these challenges and improve patient outcomes?

“A new era of “AI guidance” is dawning in medicine,” says Ron Alterovitz, Lawrence Grossberg Distinguished Professor in the Department of Computer Science. “Robots with advanced AI can assist physicians and automate certain tasks, enabling unprecedented levels of accuracy and making complex procedures safer and more effective.”

Computational models explore how regions of the visual cortex jointly represent visual information

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of neuroscience and psychology studies. Most past studies focusing on the visual cortex, the network of regions in the brain’s outer layer known to process visual information, have focused on the contribution of individual regions, as opposed to their collective representation of visual stimuli.

Researchers at Freie Universität Berlin recently carried out a study aimed at shedding new light on how regions across the human visual cortex collectively encode and process visual information, by simulating their contribution using computational models. Their findings, published in Nature Human Behaviour, highlight specific rules that could govern the relations between these different regions of the visual cortex.

“Most of us take seeing for granted, but the process is surprisingly complex,” Alessandro Gifford, first author of the paper, told Medical Xpress. “When we look at the world, it’s not just our eyes doing the work—it’s our brain, specifically an area at the back called the visual cortex. Think of the visual cortex as a team of specialists. Each member of the team (or brain region) handles a different aspect of what we see—one might focus on shapes, another on motion, another on faces.”

Keeping the photon in the dark: A new method for full control of quantum dots

Excitons—bound pairs of electrons and an electron hole—are quasiparticles that can arise in solids. While so-called “bright” excitons emit light and are therefore accessible, dark excitons are optically inactive. As a result, they have a significantly longer lifetime—which makes them ideal for storing and controlling quantum states and using them for advanced methods to generate entanglement.

Gregor Weihs and his team from the Department of Experimental Physics at the University of Innsbruck, together with researchers in Dortmund, Bayreuth, and Linz, have now demonstrated a versatile method that can be used to control dark excitons in .

The work is published in Science Advances.

Alternating current can reduce friction by redistributing electronic density at material interfaces

A research team led by Prof. Tian-Bao Ma from the Department of Mechanical Engineering at Tsinghua University has proposed a novel strategy to reduce friction and wear by inducing dynamic electronic density redistribution through the application of an alternating electric current.

This method enables flexible and instantaneous modulation of by adjusting the amplitude and frequency of the alternating current. Remarkably, it maintains low friction and wear over long durations under high contact pressure and current density, requiring only a low driving voltage.

The findings are published in the journal Nature Communications.

Visualization of atomic-scale magnetism achieved with new imaging method

An international research team led by Forschungszentrum Jülich has succeeded in visualizing magnetism inside solids with unprecedented precision. Using a newly developed method, the scientists were able to image the finest building blocks of magnetism directly at the atomic level. They have published their findings in the journal Nature Materials.

Magnetism is an integral part of our everyday lives—it is found in , loudspeakers, and the storage media of modern computers. It is generated by the movement and spin of electrons. Previous techniques could only measure these properties to a limited extent and often only on the surface of materials. The team led by Dr. Hasan Ali and Prof. Rafal E. Dunin-Borkowski has now developed a new method using a state-of-the-art electron microscope to measure at a previously unattainable resolution.

“Our technique allows us to visualize the magnetic properties within a material with atomic precision,” explains Dr. Hasan Ali, first author of the study. “This enables us to observe how the movement and spin of electrons behave in the .”

Defects in single-crystal indium gallium zinc oxide could fix persistent display instability

Many displays found in smartphones and televisions rely on thin-film transistors (TFTs) made from indium gallium zinc oxide (IGZO) to control pixels. IGZO offers high transparency due to its large bandgap (the gap existing between the valence and conduction bands), high conductivity, and can operate even in an amorphous (non-crystalline) form, making it ideal for displays, flexible electronics, and solar cells.

However, IGZO-based devices face long-term stability issues, such as negative bias illumination stress, where prolonged exposure to light and electrical stress shifts the voltage required to activate pixels. These instabilities are believed to stem from structural imperfections, which create additional electronic states—known as subgap states—that trap charge carriers and disrupt current flow.

Until recently, most studies on subgap states focused on amorphous IGZO, as sufficiently large single-crystal IGZO (sc-IGZO) samples were not available for analysis. However, the disordered nature of amorphous IGZO has made it difficult to pinpoint the exact causes of electronic instability.

Low-loss spin waveguide network could pave way for energy-efficient AI hardware

The rapid rise in AI applications has placed increasingly heavy demands on our energy infrastructure. All the more reason to find energy-saving solutions for AI hardware. One promising idea is the use of so-called spin waves to process information.