New research "UNCOVERS" hidden objects in high resolution

Target objects and the images of them created with UNCOVER NLOS technology.
Credit: Caltech

Imagine driving home after a long day at work. Suddenly, a car careens out of an obscured side street and turns right in front of you. Luckily, your autonomous car saw this vehicle long before it came within your line of sight and slowed to avoid a crash. This might seem like magic, but a novel technique developed at Caltech could bring it closer to a reality.

With the advent of autonomous vehicles, advanced spacecraft, and other technologies that rely on sensors for navigation, there is an ever-increasing need for advanced technologies that can scan for obstacles, pedestrians, or other objects. But what if something is hidden behind another object?

In a paper recently published in the journal Nature Photonics, Caltech researchers and their colleagues describe a new method that essentially transforms nearby surfaces into lenses that can be used to indirectly image previously obscured objects.

The technology, developed in the laboratory of Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering; and Heritage Medical Research Institute investigator, is a form of non-line-of-sight (NLOS) sensing—or sensing that detects an object of interest outside of the viewer's line of sight. The new method, dubbed UNCOVER, does this by using nearby flat surfaces, such as walls, like a lens to clearly view the hidden object.

Genetic mapping of tumors reveals how cancers grow

Understanding which cells give rise to which areas of cancer can improve our understanding of how a tumor has grown and developed, including how it has changed genetically, over time. This has been made possible using a new technique called spatial transcriptomics, which allows scientists to see what genetic changes take place without breaking up the tissue they’re looking at. This adds a new dimension which researchers have now used to reveal which cells have mutated and where within the ecosystem of an organ.

Current techniques for studying the genetics of cells within tumors involve taking a sample from the cancerous area and analyzing the DNA of those cells. The problem is that many cancers, such as prostate cancer, are three dimensional, which means that any one sample would only give a small snapshot of the tumor.

In a new study published in Nature, the researchers used spatial transcriptomics to create a cross-sectional map of a whole prostate, including areas of healthy and cancerous cells. By grouping cells according to similar genetic identity, they were surprised to see areas of supposedly healthy tissue that already had many of the genetic characteristics of cancer. This finding was surprising because of both the genetic variability within the tissue as well as the large number of cells that would be considered healthy, but which contained mutations usually identified with cancerous cells.

Alastair Lamb of Oxford’s Nuffield Department of Surgical Sciences, who jointly led the study, said: 'Prostate tissue is three-dimensional, and like most organs that can develop cancer we still have much to learn about what cellular changes cause cancer and where it starts. One thing we are fairly confident of is that it starts with genetic mutations.

World first chronic fatigue syndrome findings could fast track response to Long COVID

Professor Sonya Marshall-Gradisnik from the National Centre for Neuroimmunology and Emerging Diseases (NCNED) at Griffith University.
Credit: Griffith University

Griffith University researchers are hoping to find a treatment for Long COVID after proving the illness shares the same biological impairment as patients with Chronic Fatigue Syndrome (known internationally as Myalgic Encephalomyelitis (ME/CFS)).

In a world first, their study suggests COVID-19 could be a potential trigger for ME/CFS and their 10 years of research on ME/CFS could help fast track understanding and treatment of Long Covid.

Griffith University’s National Centre for Neuroimmunology and Emerging Diseases Director, Professor Sonya Marshall-Gradisnik, said the breakthrough findings will assist with investigations into therapeutic strategies to help both Long COVID and ME/CFS patients.

“Patients with Long COVID report neurocognitive, immunological, gastrointestinal, and cardiovascular manifestations, which are also symptoms of ME/CFS,” Professor Marshall-Gradisnik said.

“Our researchers have pioneered a specialized technique known as electrophysiology or ‘patch-clamp’ in immune cells.”

“This technique previously led the team to report on the pathology of ME/CFS and to examine specific ion channels in cells.

How dinos carried their enormous weight

 3D paleoreconstruction of a sauropod dinosaur
Credit: Dr. Andreas Jannel

Scientists have cracked an enduring mystery, discovering how sauropod dinosaurs – like Brontosaurus and Diplodocus – supported their gigantic bodies on land.

A University of Queensland and Monash University-led team used 3D modeling and engineering methods to digitally reconstruct and test the function of foot bones of different sauropods.

Dr. Andréas Jannel conducted the research during his PhD studies at UQ’s Dinosaur Lab and said the team found that the hind feet of sauropod had a soft tissue pad beneath the ‘heel’, cushioning the foot to absorb their immense weight.

“We’ve finally confirmed a long-suspected idea and we provide, for the first time, biomechanical evidence that a soft tissue pad – particularly in their back feet – would have played a crucial role in reducing locomotor pressures and bone stresses,” Dr. Jannel said.

“It is mind-blowing to imagine that these giant creatures could have been able to support their own weight on land.”

Sauropods were the largest terrestrial animals that roamed the Earth for more than 100 million years.

They were first thought to have been semi-aquatic with water buoyancy supporting their massive weight, a theory disproved by the discovery of sauropod tracks in terrestrial deposits in the mid-twentieth century.

Monash University’s Dr. Olga Panagiotopoulou said it had also been thought sauropods had feet similar to a modern-day elephant.

Ageing neutralizes sex differences in the brain

When male and female fruit flies age, their brains become desexualized.
Credit: Erik Karits on Unsplash

When male and female fruit flies age, their brains become desexualized. Age-related changes take place in both sexes, but the male brain becomes feminized to a larger extent than the female brain becomes masculinized. This is the conclusion of a study performed by a research group at Linköping University.

It is a well-known fact that weaker individuals cannot afford to “invest” in sexual behaviors to the same extent as their healthier conspecifics. However, it is not clear if ageing, which weakens individuals, also leads to a reduced investment in sexual activities. You might think that for individuals close to the end of their lives, going “all in” on reproduction, in order to pass on their genes before it is too late, would be best. Sexual behaviors are directed from the brain, and to find out what happens to sex differences in this tissue when fruit flies age the researchers have investigated how genes expressed to different degrees in young males and females change over time.

“Our results show that gene expression in male and female brains become more similar with age, and that both sexes contribute to this pattern”, says Dr Antonino Malacrinò, one of the study’s main authors who now works at the University of Reggio Calabria in Italy.

What the study shows is that if the expression of a certain gene is higher in the brains of young females than in young males, the gene’s expressions is reduced in older females and increased in old males – and vice versa for genes with higher expression in young males.

“The results also show that the changes are larger in males than in females”, says Antonino Malacrinò.

Study Reveals How the Ovarian Reserve Is Established

Female mammals have a limited number of follicles that can form eggs, called the ovarian reserve. New work at UC Davis shows that the PRC1 gene complex is responsible for establishing the ovarian reserve and plays a role in fertility.
Credit: Mengwen Hu, UC Davis

Fertility is finite for mammalian females. From birth, females possess a limited number of primordial follicles, collectively called the ovarian reserve. Within each follicle is an oocyte that eventually becomes an egg. But with age, the follicles in the ovarian reserve decrease.

“Despite its fundamental importance, our understanding of how the ovarian reserve is established and maintained remains poor,” said Professor Satoshi Namekawa, Department of Microbiology and Molecular Genetics at the University of California, Davis.

Researchers define the epigenetic machinery that governs the establishment and function of the mammalian ovarian reserve, providing molecular insights into female reproductive health and lifespan, in a new study published Aug. 10 in Nature Communications. Epigenetics refers to changes that influence how genes work without altering DNA itself. Lead scientists on the paper include Namekawa, project scientist Mengwen Hu and UC Davis Professors Richard Schultz and Neil Hunter.

“In human females over the age of 35, you see a decline in fertility,” said Namekawa. “Our study may give us the foundation to understand how female fertility is established and maintained at the molecular level and why it declines with age.”

AI May Come to the Rescue of Future Firefighters

A view from NIST's Burn Observation Bubble (BOB) of a burning structure during an experiment, one minute before flashover. 
Credit: NIST

In firefighting, the worst flames are the ones you don’t see coming. Amid the chaos of a burning building, it is difficult to notice the signs of impending flashover — a deadly fire phenomenon wherein nearly all combustible items in a room ignite suddenly. Flashover is one of the leading causes of firefighter deaths, but new research suggests that artificial intelligence (AI) could provide first responders with a much-needed heads-up.

Researchers at the National Institute of Standards and Technology (NIST), the Hong Kong Polytechnic University and other institutions have developed a Flashover Prediction Neural Network (FlashNet) model to forecast the lethal events precious seconds before they erupt. In a new study published in Engineering Applications of Artificial Intelligence, FlashNet boasted an accuracy of up to 92.1% across more than a dozen common residential floorplans in the U.S. and came out on top when going head-to-head with other AI-based flashover predicting programs.

Flashovers tend to suddenly flare up at approximately 600 degrees Celsius (1,100 degrees Fahrenheit) and can then cause temperatures to shoot up further. To anticipate these events, existing research tools either rely on constant streams of temperature data from burning buildings or use machine learning to fill in the missing data in the likely event that heat detectors succumb to high temperatures.

Until now, most machine learning-based prediction tools, including one the authors previously developed, have been trained to operate in a single, familiar environment. In reality, firefighters are not afforded such luxury. As they charge into hostile territory, they may know little to nothing about the floorplan, the location of fire or whether doors are open or closed.

Secret behind ‘nic-sickness’ could help break tobacco addiction

Nicotine is addictive because it activates the brain’s dopamine network, which makes us feel good. UC Berkeley researchers now show in experiments on mice that nicotine in high doses also activates a recently discovered dopamine network that responds to unpleasant stimuli. This aversive dopamine network could be leveraged to create a therapy that boosts the negative effects and lessens the rewards of nicotine.
Image credit: Christine Liu, UC Berkeley

If you remember your first hit on a cigarette, you know how sickening nicotine can be. Yet, for many people, the rewards of nicotine outweigh the negative effects of high doses.

University of California, Berkeley, researchers have now mapped out part of the brain network responsible for the negative consequences of nicotine, opening the door to interventions that could boost the aversive effects to help people quit smoking.

Though most addictive drugs at high doses can cause physiological symptoms that lead to unconsciousness or even death, nicotine is unique in making people physically ill when inhaled or ingested in large quantities. As a result, nicotine overdoses are rare, though the advent of e-cigarettes has made “nic-sick” symptoms like nausea and vomiting, dizziness, rapid heartbeat and headaches more common.

New research, conducted in mice, suggests that this aversive network could be manipulated to treat nicotine dependence.

“Decades of research have focused on understanding how nicotine reward leads to drug addiction and what are the underlying brain circuits. In contrast, the brain circuits that mediate the aversive effects of nicotine are largely understudied,” said Stephan Lammel, UC Berkeley associate professor of molecular and cell biology. “What we found is that the brain circuits that are activated after a high aversive dose are actually different from those that are activated when nicotine is delivered at a low dose. Now that we have an understanding of the different brain circuits, we think we can maybe develop a drug so that, when nicotine is taken at a low dose, these brain circuits can be coactivated to induce an acute aversive effect. This could actually be a very effective treatment for nicotine addiction in the future, which we currently do not have.”

A new study overturns 100-year-old understanding of color perception

. This visualization captures the 3D mathematical space used to map human color perception. A new mathematical representation has found that the line segments representing the distance between widely separated colors don't add up correctly using the previously accepted geometry. The research contradicts long-held assumptions and will improve a variety of practical applications of color theory.
Credit: Los Alamos National Laboratory

A new study corrects an important error in the 3D mathematical space developed by the Nobel Prize–winning physicist Erwin Schrödinger and others and used by scientists and industry for more than 100 years to describe how your eye distinguishes one color from another. The research has the potential to boost scientific data visualizations, improve TVs and recalibrate the textile and paint industries.

“The assumed shape of color space requires a paradigm shift,” said Roxana Bujack, a computer scientist with a background in mathematics who creates scientific visualizations at Los Alamos National Laboratory. Bujack is lead author of the paper by a Los Alamos team in the Proceedings of the National Academy of Science on the mathematics of color perception. "Our research shows that the current mathematical model of how the eye perceives color differences is incorrect. That model was suggested by Bernhard Riemann and developed by Hermann von Helmholtz and Erwin Schrödinger — all giants in mathematics and physics — and proving one of them wrong is pretty much the dream of a scientist.”

Modeling human color perception enables automation of image processing, computer graphics and visualization tasks.

First demonstration of a new particle beam technology at Fermilab

The optical stochastic cooling apparatus occupies the entire six-meter length of IOTA’s long experimental straight. Designed and built by the IOTA/FAST team and industry partners, the system was recently used to achieve the world’s first demonstration of OSC.
Photo Credit: Ryan Postel, Fermilab

Physicists love to smash particles together and study the resulting chaos. Therein lies the discovery of new particles and strange physics, generated for tiny fractions of a second and recreating conditions often not seen in our universe for billions of years. But for the magic to happen, two beams of particles must first collide.

Researchers at the U.S. Department of Energy’s Fermi National Accelerator Laboratory has announced the first successful demonstration of a new technique that improves particle beams. Future particle accelerators could potentially use the method to create better, denser particle beams, increasing the number of collisions and giving researchers a better chance to explore rare physics phenomena that help us understand our universe. The team published its findings in a recent edition of Nature.

Particle beams are made of billions of particles traveling together in groups called bunches. Condensing the particles in each beam so they are packed closely together makes it more likely that particles in colliding bunches will interact—the same way multiple people trying to get through a doorway at the same time are more likely to jostle one another than when walking through a wide-open room.