Overview
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.
Office Hours
Office hours for Fall 2020 - Spring 2021:
Wednesdays 10-11:30am
Thursdays 10am - 11:30am
Wednesdays 10-11:30am
Thursdays 10am - 11:30am
Current Appointments & Affiliations
Assistant Professor of Biomedical Engineering
·
2018 - Present
Biomedical Engineering,
Pratt School of Engineering
Assistant Professor in the Department of Electrical and Computer Engineering
·
2018 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Faculty Network Member of the Duke Institute for Brain Sciences
·
2018 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
In the News
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Recent Publications
Autocorrelation Bias in Diffuse Correlation Spectroscopy Observable via SPAD Arrays
Journal Article IEEE Journal of Selected Topics in Quantum Electronics · July 1, 2026 Diffuse correlation spectroscopy (DCS) is an emerging optical technique for non-invasive cerebral blood flow monitoring. Extraction of the DCS blood flow index typically involves calculating the temporal autocorrelation of the measured light intensity and ... Full text CiteSemi-supervised virtual staining using learned-illumination Fourier ptychography for high-speed label-free histopathology
Journal Article Jphys Photonics · March 1, 2026 Virtual staining techniques enable the digital transformation of label-free images into clinically standardized stained images. However, the high costs and time involved in generating labeled datasets for training, combined with the absence of accelerated ... Full text CitePtychography at all wavelengths
Journal Article Nature Reviews Methods Primers · December 1, 2025 Ptychography is a computational imaging technique that operates across multiple wavelength regimes, from electron (picometres) to X-ray (~0.1 nm), extreme ultraviolet (~10 nm) and visible light (micrometres). By reconstructing both amplitude and phase from ... Full text CiteRecent Grants
Mapping p53 dynamics to cell-fate outcomes in reprogramming and oncogenesis
ResearchCo-Mentor · Awarded by National Institutes of Health · 2025 - 2029AccessPath: A Low-Cost, Rugged, End-to-End System for Slide-Free Pathology Based on Computational Microscopy and Pan-Cancer Targeted Vital Dyes
ResearchPrincipal Investigator · Awarded by Rice University · 2024 - 2029Academic/Industry Partnership for Next-Generation Robotically Guided Intraoperative Ophthalmic OCT
ResearchCo Investigator · Awarded by National Institutes of Health · 2025 - 2029View All Grants
Education, Training & Certifications
California Institute of Technology ·
2016
Ph.D.
Duke University ·
2006
B.S.