Abstract
We implement a maximum-likelihood (ML) estimator to interpret Optical Coherence Tomography (OCT) data, based on a Fourier-Domain OCT and a two-interface tear film model. We use the root mean square error as a figure of merit to quantify the system performance to estimate the tear film thickness. The impact of detector integration time is quantified. For an OCT system with a 1 μm axial resolution, the ML estimator can estimate up to 40 nm with a 10% relative error.
Original language | English (US) |
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Pages (from-to) | 49-51 |
Number of pages | 3 |
Journal | Optics InfoBase Conference Papers |
DOIs | |
State | Published - 2013 |
Event | CIOMP-OSA Summer Session on Optical Engineering, Design and Manufacturing, SumSession_OEDM 2013 - Changchun, China Duration: Aug 4 2013 → Aug 9 2013 |
ASJC Scopus subject areas
- Instrumentation
- Atomic and Molecular Physics, and Optics