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Remember what it’s like to twirl a sparkler on a summer night? Hold it still and the fire crackles and sparks but twirl it around and the light blurs into a line tracing each whirl and jag you make.

A new patented software system developed at Sandia National Laboratories can find the curves of motion in streaming video and images from satellites, drones and far-range security cameras and turn them into signals to find and track moving objects as small as one . The developers say this system can enhance the performance of any remote sensing application.

“Being able to track each pixel from a distance matters, and it is an ongoing and challenging problem,” said Tian Ma, a computer scientist and co-developer of the system. “For physical security surveillance systems, for example, the farther out you can detect a possible threat, the more time you have to prepare and respond. Often the biggest challenge is the simple fact that when objects are located far away from the sensors, their size naturally appears to be much smaller. Sensor sensitivity diminishes as the distance from the target increases.”

As we strive towards a more sustainable future, it’s becoming increasingly important to find innovative ways to decarbonize industry and facilitate clean energy storage.

One promising approach is the manufacture of valuable products and fuels using available, low-cost feedstocks like water, carbon dioxide, nitrogen, and solar energy. By harnessing the power of these abundant resources, we can reduce our reliance on fossil fuels and move towards a cleaner, more sustainable energy future.

In a similar effort, Rice University engineers have developed a device that can turn sunlight into hydrogen with record-breaking efficiency – a significant step forward for clean energy. The device combines next-generation halide perovskite semiconductors with electrocatalysts in a single, durable, cost-effective, and scalable device.

A newly described type of chemistry in fungi is both surprisingly common and likely to involve highly reactive enzymes, two traits that make the genes involved useful signposts pointing to a potential treasure trove of biological compounds with medical and chemical applications.

It was also nearly invisible to scientists until now.

In the last 15 years, the hunt for molecules from living organisms—many with promise as drugs, antimicrobial agents, chemical catalysts and even food additives—has relied on trained to search the DNA of bacteria, fungi and plants for genes that produce enzymes known to drive that result in interesting compounds.

Our gut microorganisms, collectively known as the gut microbiota, affect far more than digestion. Bacteria in our intestinal tracts influence brain activity — and even the likelihood of developing mental disorders. Decades of research have shown that a bacterially imbalanced gut can disrupt many systems in the human body, contributing to obesity, malnutrition and even cancer. In a study published May 10 in Nature, Stanford Medicine researchers and collaborators used an ingestible device to capture the diversity of microorganisms, viruses, proteins and bile in the small intestine.

The proof-of-concept results provide early evidence that there are more comprehensive ways to measure microbiota in the digestive system than current sampling methods — which mostly focus on stool — and shed new light on how resident gut microbes might contribute to human physiology and disease.

“This paper demonstrates a big leap forward in microbial detection and captures the living gut microbiota in a nutshell,” said co-senior author KC Huang, PhD, a professor of bioengineering and of microbiology and immunology, co-senior author with David Relman, MD, a professor of medicine and of microbiology and immunology. “Samples from current tools don’t fully represent what’s going on inside of us. But it’s all we’ve had — until now.”