By Holly Ober
To win the battle against heart disease, cardiologists need better ways to identify the composition of plaque most likely to rupture and cause a heart attack. Angiography allows them to examine blood vessels for constricted regions by injecting them with a contrast agent before X-raying them. But because plaque does not always result in constricted vessels, angiography can miss dangerous buildups of plaque. Intravascular ultrasound can penetrate the buildup to identify depth, but lacks the ability to identify some of the finer details about risk of plaque rupture.
By Holly Ober
Creating a model of atrial fibrillation with live human heart cells on a chip is the goal of a new $6 million, five-year grant to Professor Steven George at the UC Davis Department of Biomedical Engineering and colleagues at Washington University in St. Louis.
UC Davis biomedical engineer Steven George will grow heart cells on a chip to study atrial fibrillation.
Atrial fibrillation is an irregular heartbeat caused when the heart’s upper chambers beat chaotically and out of sync with the lower chambers, leading to a variety of health problems including stroke and death. Nearly one in ten people over the age of 65 suffer from atrial fibrillation at a cost of around $6 billion.
Applying mathematics to detect chemical weapons, hidden explosives or other threats is the goal of an ongoing project at the UC Davis Department of Mathematics, supported by grants from the National Science Foundation.
Blind deconvolution is a mathematical method to clarify a blurred image without knowledge of the original image, or how it was blurred. Top, original image; bottom, blurred image after blind deconvolution (Original image by Steve Byland).
Threat detection involves math at a range of levels, said Professor Thomas Strohmer, who leads the project. It can include quickly processing large amounts of data, coordinating multiple sensors, or extracting clarity from background noise.
Full post: NSF Grant Funds Math For National Security
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New Instrument Will Enable Discovery in Biology
By Cassaundra Baber
The addition of a ground-breaking microscope to the College of Biological Sciences’ arsenal of research tools will transform the way UC Davis life scientists conduct research, researchers say. The lattice light-sheet microscope — one of approximately 25 of its type in the world — has the potential to revolutionize what is known about the living cell.
“Think about Galileo and his telescope,” said Michael Paddy, scientific coordinator for the Light Microscopy Imaging Facility in the Department of Molecular and Cellular Biology. “His invention changed astronomy and our understanding of our place in the world.”
Compounds Could Be Basis For Devices That Turn Waste Heat Into Electricity
Cage-like compounds called clathrates could be used for harvesting waste heat and turning it into electricity. UC Davis chemists just discovered a whole new class of clathrates, potentially opening new ways to make and apply these materials.
UC Davis chemists discovered a new class of clathrates that break the four-bond rule. The discovery was featured on the cover of the journal Angewandte Chemie (Wiley)
The UC Davis-based EXPLORER consortium, which aims to build a revolutionary total-body PET (positron emission tomography) scanner, has announced the selection of two industry partners to help build the prototype device. They are United Imaging Healthcare America, a North American subsidiary of Shanghai United Imaging Healthcare, and SensL Technologies of Cork, Ireland.
Positron emission tomography, or PET, scanning uses short-lived radioactive tracers to show how organs and tissues are functioning in the body, while magnetic resonance imaging (MRI) and computed tomography (CT) scans mostly show anatomy. PET scans are widely used to diagnose and track a variety of illnesses, including cancer, heart disease and Alzheimer’s disease.
2016 saw an unprecedented use of cyberattacks during a U.S. presidential election. According to the U.S. Department of Homeland Security and the Office of the Director of National Intelligence, the Russian government directed theft of emails and release of information in an apparent attempt to influence the election.
What does this mean for the coming year? I asked Professors Karl Levitt, Matt Bishop, Hao Chen, and Felix Wu of the UC Davis Computer Security Laboratory for some thoughts about cybersecurity in the wake of the 2016 election hack. Here’s what they had to say.
In the latest episode of the Three Minute Egghead podcast, Ilias Tagkopoulos talks about a computer model that predicts the metabolism of the bacteria Escherichia coli. While E. coli might be one of the most-studied organisms both in labs and as a cause of disease, there is still much we don’t know about it, he notes.
Tagkopoulos and his team spent two years pulling together all the data they could find on E. coli, from DNA sequences to metabolism, and assembling it into a single database. They then used computer clusters and the Blue Waters supercomputer to create their model. You can access their data here.
Our electronic devices are based on what happens when different materials are layered together: “The interface is the device,” as Nobel laureate Herbert Kroemer famously claimed over 40 years ago. Right now, our microchips and memory devices are based on the movement of electrons across and near interfaces, usually of silicon, but with limitations of conventional electronics become apparent, researchers are looking at new ways to store or process information. These “heterostructures” can also find applications in advanced batteries and fuel cells.
Now physicists at UC Davis have observed what’s going on at some of these interfaces as oxygen ions react with different metals, causing drastic changes in magnetic and electronic properties.
Within just a few years, we’ve got used to controlling devices by swiping, scrolling or tapping our fingers on a touch screen. But soon you might not even have to touch anything at all to check your email or play a video – just wave your hand in the air, thanks to ultrasonic technology from Chirp Microsystems, a startup company founded in 2013 by researchers from UC Davis and UC Berkeley.
Chirp’s technology is “disruptive” in the ultrasound area, said David Horsley, professor of electrical and computer engineering at UC Davis and co-founder of the company. Chirp’s ultrasound transducers are smaller and operate with much lower power needs than any currently available.