Imaging Science

Bringing together physics, math, computer science, and engineering to understand and develop cutting-edge imaging systems such as satellites and detectors that record, process, display, or analyze image data.

1

RIT is the only university in the nation to offer an undergraduate degree in imaging science

30+

Years that RIT has offered master’s and Ph.D. degrees in imaging science

40+

Faculty engaged in teaching and research

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Specialized laboratories for detector research

Research Centers and Labs

Chester F. Carlson Center for Imaging Science

Dedicated to pushing the frontiers of imaging in all its forms and uses. Through education leading to BS, MS, and Ph.D. degrees in imaging science, we produce the next generation of educators and researchers who develop and deploy imaging systems to answer fundamental scientific questions, monitor and protect our environment, help keep our nation secure, and aid medical researchers in their quest to conquer disease.

Learn more about the Chester F. Carlson Center for Imaging Science

Digital Imaging and Remote Sensing Laboratory

The DIRS Laboratory focuses on the development of tools to extract information about the Earth from aerial and satellite imaging systems with an emphasis on the application of science and engineering to solving end-to-end remote sensing problems using a systems engineering approach.

Learn more about the Digital Imaging and Remote Sensing Laboratory

Laboratory for Multiwavelength Astrophysics

The mission of LAMA is to foster the utilization and advancement of cutting-edge techniques in multiwavelength astrophysics by RIT faculty, research staff, and students, so as to improve human understanding of the origin and fate of the universe and its constituents.

Learn more about the Laboratory for Multiwavelength Astrophysics

Multidisciplinary Vision Research Laboratory

The Multidisciplinary Vision Research Laboratory aims to further the understanding of high-level visual perception, how humans extract information from images and the environment, and how that information is used in decision-making and to guide actions. The lab is equipped with a variety of eye-tracking instrumentation to record and analyze eye movements.

Learn more about the Multidisciplinary Vision Research Laboratory

Key Faculty

David Messinger
Professor
Chester F. Carlson Center for Imaging Science
Charles Bachmann
Wiedman Professor
Chester F. Carlson Center for Imaging Science
Emmett Ientilucci
Associate Professor
Chester F. Carlson Center for Imaging Science
John Kerekes
Research Professor
Chester F. Carlson Center for Imaging Science
Zoran Ninkov
Professor
Chester F. Carlson Center for Imaging Science
Jan van Aardt
Director of Carlson Center for Imaging Science
Chester F. Carlson Center for Imaging Science
Anthony Vodacek
Professor
Chester F. Carlson Center for Imaging Science
Carl Salvaggio
Professor
Chester F. Carlson Center for Imaging Science

Related News

  • June 5, 2020

    professor helping student put on virtual reality headset.

    RIT faculty earns NIH grant to use virtual reality to help stroke patients regain lost vision

    Scientists from RIT and the University of Rochester aim to use virtual reality to help restore vision for people with stroke-induced blindness. The team of researchers led by RIT's Gabriel Diaz, are developing a method they believe could revolutionize rehabilitation for patients with cortically induced blindness, which afflicts about 1% of the population over age 50.

  • May 1, 2020

    student wearing sunglasses highlights paper under colorful light.

    First-year students develop imaging system to study historical artifacts

    A multidisciplinary team of first-year students has been working to develop an imaging system that can reveal information hidden in historical documents for their Innovative Freshmen Experience project-based course. But with the shift to remote classes, the students left campus with the device nearly complete. Although disappointed, they shifted focus to the opportunities the new situation would create.

  • April 23, 2020

    researcher pointing at equations on dry-erase board.

    Fixing the forgetting problem in artificial neural networks

    An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks. Christopher Kanan, an assistant professor in the Chester F. Carlson Center for Imaging Science, received $500,000 in funding to create multi-modal brain-inspired algorithms capable of learning immediately without excess forgetting.