Handheld terahertz three-dimensional spectral scanner
Business Announcement
Updates every hour. Last Updated: 29-Oct-2026 00:16 ET (29-Oct-2026 04:16 GMT/UTC)
State University of New York (SUNY) Chancellor John B. King Jr. today announced that this technology is a recipient of the latest round of seed funding through the SUNY Technology Accelerator Fund (TAF), which provides grants to faculty inventors and scientists. The inventors have developed a portable handheld spectral reflection (PHASR) scanner that is alignment-free and can acquire three-dimensional spectroscopic images in the terahertz range of 0.1-3 THz. The PHASR scanning device uses an asynchronous optical sampling system to achieve short scan times and is attached only by an umbilical. The device’s portability and quick scan times allow it to be used in clinical settings where previous devices could not be used. The device has been used to characterize burn injuries in animal studies, and a human clinical trial is planned to further test its use for diagnosing burn wounds and predicting wound-healing outcomes.
State University of New York (SUNY) Chancellor John B. King Jr. today announced that this technology is a recipient of the latest round of seed funding through the SUNY Technology Accelerator Fund (TAF), which provides grants to faculty inventors and scientists. This University at Buffalo and Ohio State University technology is a vertical trench MOSFET built on gallium oxide (Ga₂O₃) with a novel in situ Mg-doped current-blocking layer (CBL). This design overcomes challenges in the development of vertical power devices, particularly the lack of shallow acceptors in Ga₂O₃. The technology enables higher voltage operation with increased efficiency, robustness, and thermal performance, making it suitable for high-power applications.
With the rapid development of 6G space–air–ground integrated communication networks, low Earth orbit (LEO) satellite constellations, leveraging their advantages of wide-area coverage and freedom from geographic constraints, have become key infrastructure for achieving global seamless connectivity. However, due to the relative motion among satellites in different orbits, inter-satellite links (ISLs) exhibit periodic dynamic on–off characteristics, among which a portion of the interruptions are predictable topological changes. Conventional Open Shortest Path First (OSPF) protocols compute shortest paths solely based on link distance, without considering link effective duration or bandwidth constraints, rendering them inadequate for adapting to the dynamic topological characteristics of satellite networks. Although fast reroute strategies can address sudden link failures, they consume substantial bandwidth resources and cannot provide protection for all nodes across the entire network. Therefore, how to proactively switch service paths before predictable link interruptions occur, so as to minimize service disruption and resource overhead, has become a core issue in ensuring service continuity in LEO satellite networks.
An NIH-funded scientific team has shown that a new brain-computer interface (BCI) can allow people with vocal tract and bodily paralysis to convey both speech and upper-body gestures simultaneously. While BCIs have facilitated one or the other in the past, this new system is the first to enable both modes of communication at once, more closely replicating natural expression.
HardFlow is a new algorithm developed at MIT that helps pretrained generative AI models satisfy hard constraints while improving solution quality without retraining, in applications spanning robotics, control of physical systems, and computer vision.
The U.S. National Science Foundation is investing $20 million in a two-year pilot led by UCF’s National Commercialization and Translation Institute to help NSF-funded small businesses overcome the “valley of death” and move late-stage deep technologies toward commercial success. The pilot will also evaluate approaches that could inform a scalable, long-term model.