Circular Ranging OCT

Norman Lippok in the Vakoc Laboratory is advancing new techniques in Circular Ranging OCT (CR-OCT). In recent work he presents the latest on unwrapping CR-OCT signals.
"Present CR-OCT systems resolve the relative, but not the absolute, depth location of the scatterers. We show that using a degenerate frequency comb source allows recovery of absolute depth information while only minimally impacting the RF bandwidth compression. A degenerate frequency comb can be created by relatively simple modifications to existing frequency comb source designs."

CBORT Symposium 2021

CBORT to host Machine Learning in OCT Imaging

Machine Learning in OCT Imaging: Novel Applications & New Research Opportunities will highlight the impact of advanced machine learning on biomedical optics and in particular Optical Coherence Tomography (OCT). The program will serve to connect the biomedical optics community and machine learning / computer vision experts.


Automated Noise Estimation in Polarization Sensitive Optical Coherence Tomography

Advanced signal reconstruction in polarization sensitive optical coherence tomography (OCT) frequently relies on an accurate determination of the signal noise floor. However, current methods for evaluating the noise floor are often impractical and subjective. Here we present a method using the degree of polarization uniformity and known speckle intensity statistics to model and estimate the OCT noise floor automatically. We establish the working principle of our method with a series of phantom experiments and demonstrate the robustness of our noise estimation method across different imaging systems and applications in vivo.