Assistant Professor of Biomedical Engineering
Roarke Horstmeyer is an assistant professor within Duke's Biomedical Engineering Department. He develops microscopes, cameras and computer algorithms for a wide range of applications, from forming 3D reconstructions of organisms to detecting neural activity deep within tissue. His areas of interest include optics, signal processing, optimization and neuroscience. Most recently, Dr. Horstmeyer was a guest professor at the University of Erlangen in Germany and an Einstein postdoctoral fellow at Charitè Medical School in Berlin. Prior to his time in Germany, Dr. Horstmeyer earned a PhD from Caltech’s electrical engineering department in 2016, a master of science degree from the MIT Media Lab in 2011, and a bachelors degree in physics and Japanese from Duke University in 2006.
Appointments and Affiliations
- Assistant Professor of Biomedical Engineering
- Faculty Network Member of the Duke Institute for Brain Sciences
- Office Location: Fitzpatrick Center (Ciemas) Ro, 101 Science Drive, Durham, NC 27701
- Office Phone: (650) 686-1368
- Email Address: email@example.com
- B.S. Duke University, 2006
- Ph.D. California Institute of Technology, 2016
Research InterestsComputational optics, machine learning, and designing new algorithms for image processing. A main focus is to improve how we capture and use images of microscopic phenomena within a range of biomedical contexts. In general, I like to create new optical devices that can improve the utility of the information that we can gather about the world around us.
- BME 493: Projects in Biomedical Engineering (GE)
- BME 494: Projects in Biomedical Engineering (GE)
- BME 548L: Machine Learning and Imaging (GE, IM)
- BME 789: Internship in Biomedical Engineering
- BME 791: Graduate Independent Study
- BME 792: Continuation of Graduate Independent Study
- EGR 101L: Engineering Design and Communication
- EGR 393: Research Projects in Engineering
In the News
- Invented at Duke Connects University's Research, Innovation and Entrepreneurshi…
- A Microscope That Teaches Itself to Know the Best Settings for Diagnostic Image…
- Mühlberg, Alexander, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, et al. “SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for Prior-Informed Assessment of Muscle Function and Pathology.” Advanced Science (Weinheim, Baden Wurttemberg, Germany), August 2023, e2206319. https://doi.org/10.1002/advs.202206319.
- Harfouche, M., K. Kim, K. C. Zhou, P. C. Konda, S. Sharma, E. E. Thomson, C. Cooke, et al. “Imaging across multiple spatial scales with the multi-camera array microscope.” Optica 10, no. 4 (April 1, 2023): 471–80. https://doi.org/10.1364/OPTICA.478010.
- Yang, Xi, Mark Harfouche, Kevin C. Zhou, Lucas Kreiss, Shiqi Xu, Pavan Chandra Konda, Kanghyun Kim, and Roarke Horstmeyer. “Multi-modal imaging using a cascaded microscope design.” Optics Letters 48, no. 7 (April 2023): 1658–61. https://doi.org/10.1364/ol.471380.
- Zhou, Kevin C., Mark Harfouche, Colin L. Cooke, Jaehee Park, Pavan C. Konda, Lucas Kreiss, Kanghyun Kim, et al. “Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second.” Arxiv, January 19, 2023.
- Thomson, Eric E., Mark Harfouche, Kanghyun Kim, Pavan C. Konda, Catherine W. Seitz, Colin Cooke, Shiqi Xu, et al. “Gigapixel imaging with a novel multi-camera array microscope.” Elife 11 (December 14, 2022). https://doi.org/10.7554/eLife.74988.