Quantitative Bioimaging

Undergraduate / Graduate

How do you count thousands of different cell types in seconds, reconstruct a 3D heart from 2D slices, identify patterns in tumors to diagnose deadly cancers, or track neurons firing in real-time? This course equips students with the computational tools to solve these problems using Python. This course builds a practical approach to developing computational data pipelines including data handling, visualization, image preprocessing and classification from a range of imaging modalities, including microscopy and medical imaging techniques. Using Python programming, this course will explore how we can move beyond simple observation and qualitative analysis of images to quantitative analysis and automated classification on a wide range of biological images.