Noise-governed effectiveness of digital dispersion compensation in OCT

Event Date

Dispersion mismatch between the sample and reference arms in an OCT system will lead to point-spread-function (PSF) broadening and detection sensitivity (DS) drop. While physical dispersion compensation is effective, it can be experimentally tedious and often sensitive to residual mismatches, especially at shorter wavelengths. Digital dispersion compensation offers a convenient alternative, but its performance is limited by system noise. This study quantitatively evaluates DS drop and PSF broadening under various mismatches, assesses digital compensation effectiveness, and provides practical guidance for the maximum optical mismatch tolerable for effective digital dispersion correction under a given system noise level.

Presenter

Fengquan Liu
Johns Hopkins Medicine (United States)
Fengquan Liu is a PhD Candidate in the Department of Biomedical Engineering of Johns Hopkins University. Prior to his doctoral studies, he obtained a Bachelor of Science in Physics from the University of Science and Technology of China.