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Instructor: Wesley Legant (

UNC/NCSU Joint Department of Biomedical Engineering, UNC School of Medicine

Dates: TBD (fall)

Times: TBS

Location: TBD

BMME 490 Syllabus


Course description:

All imaging systems (cameras, microscopes, ultrasound detectors) have limitations. These typically break down into two categories, those due to hardware and those due to fundamental physical principles. This course will focus on way to surpass these limits through experimental design, new physical principles, and deep learning/computational processing. Toward this end, we will cover the fundamental mechanisms of image formation in the most common biomedical imaging modalities and describe recent approaches to extend resolution beyond conventional limits. Students will gain a critical understanding of how to quantify resolution in an image, how to interpret what’s real vs. artifact in biomedical images, and will review recent literature that highlights what new information can be revealed with cutting edge approaches. This course is designed for students who intend to develop or use biomedical imaging systems or work with biomedical images.



Image formation
Quantifying image resolution
Pixel shifting super-resolution
Computational image reconstruction
Optical Image Formation
Optical Super Resolution
Spatial Transcriptomics
Correlative optical and electron microscopy
Ultrasound Image Formation
Introduction to Machine Learning
Deep Learning-Based Denoising
Deep Learning-Based Label-Free Imaging
Deep Learning-Based Super Resolution