Focusing on the future with imaging technology

From digital cameras on smartphones to magnetic resonance imaging (MRI) systems used in medicine, imaging technology has become a ubiquitous part of our daily lives.

Growing demand has made it critical to continuously improve how we capture, process, manipulate, analyze and understand images.

Researchers at Waterloo Engineering are tackling that challenge to make a meaningful, practical difference in fields ranging from medical imaging to remote sensing, from computational photography to self-driving vehicles.

Our leading global experts also work in areas including visual quality assessment, computer-aided clinical decision support, video compression, scientific imaging and robotic vision. 

The Coded Hemodynamic Imaging system monitoring blood-flow patterns through the neck and face (slowed down to 1/6 normal speed)

  1. Nov. 17, 2020Engineering student pitches invention on Dragons' Den

    One of the surest signs that Sam Dugan, 22, is a born entrepreneur might be this: he got the brainwave for his latest business venture, completely out of the blue, when he was on a date.

    Two years later, while juggling studies as a third-year mechatronics engineering student at the University of Waterloo, he has turned that idea into a startup technology company to reduce injuries at ski resorts.

  2. Oct. 22, 2020Pivoting master's research for COVID detection

    Linda Wang quickly pivoted her work last spring to help develop technology to detect COVID-19.

    Wang, who will receive her master’s degree in systems design engineering this week, helped create COVID-Net, now an open-source tool designed to screen coronavirus cases from chest X-ray images. 

  3. Oct. 19, 2020Instant laser imaging could guide brain surgeons

    Researchers at Waterloo Engineering have taken an important step in the development of a microscope to precisely guide doctors during surgery to remove brain tumors.

    For the first time, they used laser imaging technology to almost instantly identify cancerous tissue with accuracy comparable to laboratory tests that take up to two weeks.

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