If we can remotely probe the structure and nature of an object, we can make an image
of it and use that image to develop human comprehension.
Megan M. Iafrati, BS 2015
I wanted something challenging where I would get a broad education in many areas and try my hand both at science and engineering. I also wanted the freedom to make my education into what I wanted and to have the options later to choose any field I wished to go into. Imaging Science gave me exactly that. By understanding the math and science across a breadth of imaging related technologies, you can both develop and utilize imaging systems for various applications. The beautiful thing is that you get the broad knowledge to be able to understand the whole process, from data acquisition, to processing and analysis, all the way to display and interpretation. Its one thing to love what you do, its another thing to love who you do it with. Here at CIS we have an amazing community. Everyone’s door is always open and people are always willing to help you out.
Amy Becker, BS 2016
Physics, Optics, and Math were my favorite topics in high school and I knew I wanted to pursue something in them, but I didn't want to choose just one of them. I picked Imaging Science at RIT because it encompasses all three and I knew it would expand my career options. The curriculum is focused on the science of systems that create images. This degree program gave me the opportunity to pursue the research and development side of bio-medical imaging. I sought the opportunity to get involved with research in the field of Bio-Imaging at the end of my Freshman year and presented a poster of my work at the American Chemical Society Undergraduate Research Symposium at RIT. The community at CIS is extremely friendly and welcoming. Everyone I've met has been happy to work with me to achieve my goals.
Doug Peck, BS 2015
I originally began my career at RIT as a Physics major only to quickly discover that it was not a good fit for me. By the next semester I was convinced that the Imaging Science subject material, education approach were much more suited towards my academic interests. People can learn so much through pictures, videos and images in general, and so applying a scientific rigor to their acquisition and utilization really allows that to flourish. The amount of familiarity Imaging Science students get to have with their professors and other staff and faculty within the building is one of the most rewarding aspects of the program. One of the most unique opportunities of the Imaging Science program was the Freshman Imaging Project. I personally had such a good experience with this that the following year, I undertook a second project with a smaller group of friends funded through a micro grant proposal. The people at CIS are some of the nicest in the world. They all share a similar mentality of wanting to learn more, exploring cool ideas and ultimately just trying to have fun with science.
We conduct research to understand the human visual system and how it is used to help us perceive and interpret information from images and the environment. We develop algorithms, devices, and systems to aid humans in their use of vision, for impaired vision and for learning.
We conduct remote sensing research focused on imaging the earth's environment in the visible, near infrared, and thermal infrared spectral regions. We use modeling tools, field measurements, and synthetic image generation to understand how remotely sensed data can be used to study environmental processes and provide security.
We conduct research into the design, development, and application of imaging to material and biological systems on very small scales, in conjunction with the Departments of Chemistry, Physics, and Electrical Engineering.
With our collaborators in physics, mathematics, and computer science, we conduct research dedicated to understanding the nature and evolution of the universe in which we live, from the sun-earth environment to the earliest furthest reaches of the universe. Our research encompasses development of state-of-the-art instrumentation, observation and interpretation, theoretical physics and modelling using state-of-the art computation, and mining of large astronomical datasets.