Research at the intersection of biomedical imaging, biophotonics and algorithm design

 

The Computational Optics Lab develops new microscopes, cameras and computer algorithms for better biomedical images. The lab is directed by Dr. Roarke Horstmeyer, who is a new Assistant Professor in the Biomedical Engineering Department at Duke Univeristy.

Opportunities!

Interested in joining the lab? We are currently seeking PhD and post-doctoral candidates! Please feel free to get in touch with me if you are interested in working at the intersection of optics, algorithms and machine learning. I am especially interested in those who know their way around an optics table.

Summary

It is still surprisingly challenging to clearly capture many important biological events. The image resolution, field-of-view, and video frame rate of many optical recordings are still not as high as they should be. In addition, scattering prevents us from seeing beneath the very top layers of biological tissue. These limits are felt across many areas of study, from the pathologist who can only examine one small part of a histology slide at a time, to the neuroscientist who can only use light to monitor neural activity along the top surface of the brain.

The Computational Optics Lab develops new optical tools and algorithms to overcome these barriers. Here are a few current projects:

1. A microscope to capture gigavoxel-scale 3D images using principles from Fourier ptychography

2. Techniques to optically record in vivo neural activity in freely moving animals 

3. Enabling High-speed deep-tissue detection using principles from machine learning