Biological Imaging Technology

Assistant in Instruction, Graduate Course, Washington University in St.Louis, Department of Biomedical Engineering/ Department of Electrical and Systems Engineering, 2020

In-person/Virtual, BME/ESE 589, Spring 2020

Course description: This class will develop a fundamental understanding of the physics and mathematical methods that underlie biological imaging and critically examine case studies of seminal biological imaging technology literature. The physics sections will examine how electromagnetic and acoustic waves interact with tissues and cells, how waves can be used to image the biological structure and function, image formation methods, and diffraction-limited imaging. The math sections will examine image formation and analysis using basis functions (e.g. Fourier transforms), synthesis of measurement data, reduction of multi-dimensional imaging datasets, and statistical image analysis. Original literature on electron, confocal, and two-photon microscopy, ultrasound, nuclear imaging, computed tomography, functional and structural magnetic resonance imaging, and other emerging imaging technology will be critiqued.