Studying Chaos with One of the World's Fastest Cameras
01-14-21
There are things in life that can be predicted reasonably well. The tides rise and fall. A billiard ball bounces around a table according to orderly geometry. And then there are things that defy easy prediction: The hurricane that changes direction without warning. The splashing of water in a fountain. These phenomena and others like them can be described as chaotic systems. Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed a new tool that might help to better understand chaotic systems. [Caltech story]
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Lihong Wang Named to National Academy of Inventors
12-10-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has been named fellow of the National Academy of Inventors (NAI). Election as a fellow is the highest professional distinction accorded to academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development and the welfare of society. The Wang lab has developed photoacoustic imaging that allows researchers to see into biological tissues noninvasively, and to peer deeper into the body by nearly two orders of magnitude compared to conventional optical microscopy. [Caltech story] [List of 2020 Fellows]
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Changhuei Yang Named to National Academy of Inventors
12-10-20
Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering, has been named fellow of the National Academy of Inventors (NAI). Election as a fellow is the highest professional distinction accorded to academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development and the welfare of society. The Yang lab develops technologies aimed at transforming the conventional microscope so that it can be used for high-throughput, automated applications. He also works on the use of "time-reversal" techniques to undo the effect of tissue light scattering. [Caltech story] [List of 2020 Fellows]
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Lihong Wang Receives NIH BRAIN Grant
12-07-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has received funding for neuroscience projects from the National Institutes of Health's Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Wang and his team aim to develop a technology called 3D photoacoustic computed tomography (PACT) that will rapidly image large-scale neural activity in human brains with high sensitivity. "Photoacoustic imaging of adult human brains is one of the most challenging frontiers in our field," says Wang. "It requires innovation to overcome the signal attenuation and wavefront distortion due to the skull. I'm glad that the NIH has the vision to fund this worthy research direction." [Caltech story]
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New Device Powers Wearable Sensors Through Human Motion
10-16-20
Wei Gao, Assistant Professor of Medical Engineering, has been developing sensors as well as novel approaches to power them. Previously, he created a sensor that could monitor health indicators in human sweat that is powered by sweat itself. Now, Gao has developed a new way to power wireless wearable sensors: He harvests kinetic energy that is produced by a person as they move around. "Instead of using fancy materials, we use commercially available flexible circuit boards," he says. "This material is cheap and very durable and mechanically robust over long periods of time." [Caltech story]
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Professor Gao Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity
10-02-20
One feature of the COVID-19 virus that makes it so difficult to contain is that it can be easily spread to others by a person who has yet to show any signs of infection. Wei Gao, Assistant Professor of Medical Engineering, has developed a new type of multiplexed test (a test that combines multiple kinds of data) with a low-cost sensor that may enable the at-home diagnosis of a COVID infection through rapid analysis of small volumes of saliva or blood, without the involvement of a medical professional, in less than 10 minutes. "This is the only telemedicine platform I've seen that can give information about the infection in three types of data with a single sensor," Gao says. "In as little as a few minutes, we can simultaneously check these levels, so we get a full picture about the infection, including early infection, immunity, and severity." [Caltech story]
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