ECE 4786 Cell and Tissue Image Analysis 3.0 Credits
Quantitative analysis of multi-dimensional images of biological cells, tissues, and organisms captured by modern optical microscopes. Topics include characteristics of fluorescence microscopy for fixed and live-cell imaging, image preprocessing, segmentation, feature extraction, multi-target tracking, and techniques for machine learning from spatiotemporal dynamics. The goal is to build computational tools to advance cutting edge studies in the life sciences.
Repeat Status: Not repeatable for credit
Prerequisites: ECE 3700 [Min Grade: D] or ECE 361 [Min Grade: D]