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Optics + Algorithms for better biology

Microscopic crystal structure with colorful light refraction patterns

Research at the intersection of biomedical optics,machine learning and algorithm design.

At the Computational Optics Lab at Duke University, we develop cutting-edge microscopes, cameras, and algorithms to improve biomedical imaging. Led by Dr. Roarke Horstmeyer, our team combines biomedical optics, machine learning, and computational imaging to capture clearer, more detailed images of biological structures. We're passionate about pushing the boundaries of imaging technology and sharing our discoveries with the world.

Advanced microscopy research

Our Research

Fourier Ptychography

Parallelized Diffuse Correlation Spectroscopy

Designing Microscopes with Deep Learning

Gigapixel Micro Camera Array Microscopes

Machine Learning and Imaging Pipeline diagram showing the flow from real world through measurement devices, digitization, to machine learning and optimization

Machine Learning and Imaging Class

Dr. Horstmeyer currently teaches BME548: Machine Learning and Imaging.

Recordings of the course are available on our lab's YouTube Channel.

Dr. Horstmeyer also teaches Duke's first year design course Engineering 101.

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Check out our YouTube channel!