Explore more about: Optical Imaging

December 14, 2021
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A team led by NIBIB scientists has developed hardware and software innovations to construct super-resolution, 3D confocal images of fine structures in living samples.
October 15, 2021
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Johns Hopkins University engineers are the first to use a non-invasive optical probe to understand the complex changes in tumors after immunotherapy, a treatment that harnesses the immune system to fight cancer. Their method combines detailed mapping of the biochemical composition of tumors with machine learning. Source: JHU.
September 17, 2021
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As mice watched movies, scientists watched their brains to see how vision could be represented reliably. The answer is that consistency in representation is governed by a circuit of inhibitory neurons. Source: The Picower Institute for Learning and Memory at MIT.
August 13, 2021
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NIBIB-funded research drives progress in the diagnosis, treatment, and monitoring of middle ear infections.
July 13, 2021
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– The National Institutes of Health are helping to fund an evolution in medical imaging, and a University at Buffalo-led research team is leading the way. Jun Xia, PhD, associate professor in the Department of Biomedical Engineering, received a $1.6 million grant to improve medical imaging for people with chronic leg ulcers. The project is a collaboration with the surgery clinic of UBMD Physician’s Group and other UB researchers.
July 9, 2021
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A team of researchers has developed a modified version of two-photon imaging that can scan deeper within tissue and perform the imaging much faster than previously possible.
March 2, 2022
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Sometimes scientists discover exciting results after spending years searching for an answer to a single question. But sometimes discoveries are made by surprising collaborations and connections—resulting in answers to questions no one would have thought ask.
June 29, 2021
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A scientist and entrepreneur is working to use simple LED light to help determine if certain chemotherapy options will work for specific patients.
June 29, 2021
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Neuroscientists distinguish brain regions based on what they do, but now have a new way to overlay information about how they are built, too.
May 17, 2022
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Researchers demonstrated how a deep learning framework they call 'Brain-NET' can accurately predict a person's level of expertise in terms of their surgical motor skills, based solely on neuroimaging data.