Semester: Spring 2026
This course introduces students to micron, nanometer, and sub-nanometer scale imaging-based approaches in experimental, computational, and systems biology and bioengineering. Emphasis will be placed on understanding the fundamentals of image formation, processing, and analysis of different imaging modalities along with spatial transcriptomic and proteomic methods. Applications of these methods in studying biological phenomena in space and time will be discussed. Python will be the programming language in which image processing, machine learning, and system biology methods introduced in the course will be implemented. Students are expected to know Python basics. It is also expected that students have a basic understanding of linear algebra and calculus.
The course will also be cross-listed as a Biongineering elective (BIOE 2335) within the Bioimaging track.
The current version of the syllabus can be found here:
