MUSC startup OncoBLAZE is developing a new imaging system that could help cancer researchers see experiments unfold in real time. Created by Hollings researcher Dieter Haemmerich, Ph.D., SphynxVision uses fluorescence imaging to track cancer cells, drugs and other biological processes under normal room lighting. Unlike conventional systems that require samples to be placed inside dark, closed chambers, its open design allows researchers to perform procedures while continuously capturing high-resolution images. The technology grew out of Haemmerich’s own need to track chemotherapy as it was delivered to tumors and could ultimately help scientists uncover biological changes that current imaging systems miss. OncoBLAZE is now preparing to place early versions of SphynxVision in research laboratories for testing ahead of a broader commercial launch.

A new, international, community-led scientific review warns that major gaps in knowledge along Antarctica’s coast are now one of the biggest obstacles to reliably predicting future global sea level rise.

A new software framework lets multiple artificial intelligence (AI) models plug directly into a fusion experiment’s control system, reading plasma measurements and issuing commands in about 20 milliseconds, far faster than any human operator. Researchers tested the framework in five experiments at the DIII-D National Fusion Facility, a Department of Energy user facility in San Diego. The framework predicted and prevented plasma instabilities and cut the time to deploy a new AI model from months to days.

Ying Zhang in URI's College of the Environment and Life Sciences is leading a collaboration funded by the National Science Foundation that will leverage existing collaborations and coastal research networks in Rhode Island and Louisiana. With nearly 40% of Americans living in coastal counties, this research is highly relevant to building community resilience and economic sustainability in both states.

Rice University has received a National Science Foundation award to develop artificial intelligence-powered cameras that could dramatically reduce the data, energy and cost needed to operate large-scale camera networks.

Doctors use samples of white blood cells taken in clinical settings in lab tests about immune function and for emerging therapies like CAR T cell for certain cancers. But, current tests are limited in scope and sometimes require the addition of molecular labels that make the samples unsuitable for further use or analysis. Investigators at the Morgridge Institute for Research have developed a method of using optical metabolic imaging to identify immune cells and their metabolic state without destroying the samples. The group is working to commercialize this technology and help clinicians get the most out of these commonly used blood samples.

New research by SUNY Polytechnic Institute (SUNY Poly) Assistant Professor of Biology Dr. Margarita Orlova is providing new insight into how bumble bee queens communicate through chemical signals and how those signals change throughout their lives.