Imaging Science MS

  • February 24, 2021

    environmental portrait of Guoyu Lu.

    RIT faculty using smartphones and artificial intelligence to help assess crop roots

    An RIT faculty member is creating new artificial intelligence systems that could empower agricultural researchers, breeders, nurseries, and other users to analyze the roots of their crops with the power of their smartphones. Assistant Professor Guoyu Lu is receiving a $450,000 New Investigator grant from the U.S. Department of Agriculture to conduct the research.

  • January 15, 2021

    researchers wearing clean suits analyzing a magnified view of an integrated circuit.

    New economy majors connect with emerging careers

    Analytical thinking, complex problem solving, creativity, resiliency, and flexibility are among the top skills needed for emerging careers by 2025. Anticipating these rapid changes in the workplace—further accelerated by lessons learned from the COVID-19 pandemic—RIT is seizing on the opportunity to guide students to “new economy majors” that are multi­disciplinary, transformative, and future-focused.

  • August 6, 2019

    Building under contruction in 1988.

    Thirty years of imaging science at RIT

    Thirty years after the Center for Imaging Science building was dedicated, it is now home to more than 150 students studying imaging science at the undergraduate and graduate level.

  • April 8, 2019

    13th century piece of parchment paper

    Scientists use multispectral imaging to uncover lost text from manuscripts in Croatia

    Croatia has a treasure trove of historically significant manuscripts, but after 800 years of fading ink and worms eating their parchment, much of the text has become impossible to read. Scientists from RIT are using multispectral imaging to make the writing legible once again and preserve the important information the manuscripts hold.

  • April 1, 2019

    Woman wearing glasses and floral print dress sits at table.

    Cracking down on poachers with imaging

    Elephant and rhino poachers in South Africa can run, but they can’t hide from drones. An imaging system created by a team led by Elizabeth Bondi ’16 automatically detects illegal hunters infiltrating national parks at night. Bondi’s deep learning system alerts the monitoring team who notifies park rangers or law enforcement of a potential threat to the animals under their protection.

  • November 20, 2018

    Teaching computers to learn

    While the technology has rapidly progressed, Christopher Kanan and his team are trying to make deep learning even more versatile.