Computational Imaging

Computational Imaging

Developing next-generation imaging systems

Members of the Computational Imaging Group are experts in image data acquisition, reconstruction, and processing. They also do machine learning, and computational modeling. They develop advanced theory, algorithms, and software tools for new systems, integrating physics modeling, biological modeling, and machine learning.

An image illustrating the capability of advanced computational imaging to map brain metabolites and neurotransmitters.
Professor Stephen Boppart and a student test imaging tools near a large model of a human ear.
Group members are well-versed in clinical applications, which bring new imaging tools to doctors and patients. Their work is expected to allow neuroscientists and doctors to acquire neuroimaging data with much higher accuracy and efficiency.
View people in this group

Group leader

  • Zhi-Pei Liang

Latest news

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    Beckman spring award, fellowship recipients announced

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    Seven named 2020 Beckman Institute Graduate Fellows

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    Making a homemade COVID mask? Study explains best fabric choices

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    Adam Konopka joins Beckman as faculty affiliate

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    New grant aims to develop digital approaches for patient assessment

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