Chip-based device could transform spectrometry
Small spectrometry chips could be the future for materials analysis systems, optical coherent tomography in medical imaging and in optical networks...
List view / Grid view
Small spectrometry chips could be the future for materials analysis systems, optical coherent tomography in medical imaging and in optical networks...
The algorithm has the potential to standardise and automate routine breast density assessment, with AI being central to breast cancer risk assessment...
The EMERALD project is supporting 13 PhD students for the development of a portable imaging device that can allow real-time imaging...
A meta lens developed by researchers at only one micron thick, has the ability to perform better than any compound lens currently available...
Retinal damage and long term vision problems have been identified in a patient who took a dose of slidenafil citrate over the recommended limit...
NIAID has released a plan for research in the infectious disease TB in order to strengthen efforts and resolve to attack this disease...
Scientists are conducting a joint study to develop a radioactive marker, based on nanoparticles, for the detection of cancer...
A new microscope system can image living tissue in real time and in molecular detail, without any chemicals or dyes...
An algorithm to monitor the joints of patients with arthritis, which could change the way that the severity of the condition is assessed...
A research team have reported the first NIR-II fluorescent molecule with aggregation-induced-emission (AIE) characteristics for dual fluorescence and photoacoustic imaging...
A novel PET imaging method shows promise for noninvasively pinpointing sites of inflammation in people with inflammatory bowel disease...
Researchers have developed a new form of microscopy that allows them to observe the formation and evolution of cell membrane focal adhesions...
An innovative way to inject light into tiny silicon microdisks could help meet the need for practical chip-based sensors to detect cancer and other diseases.
Machine learning has detected one of the commonest causes of dementia and stroke, in the most widely used form of brain scan (CT), more accurately than current methods.
Patients with stroke caused by bleeding on the brain may benefit from receiving a drug currently used to treat blood loss from major trauma and bleeding after childbirth...