Abstract

In optical coherence tomography (OCT), the axial resolution is often superior to the lateral resolution, which is sacrificed for long imaging depths. To address this anisotropy, we previously developed optical coherence refraction tomography (OCRT), which uses images from multiple angles to computationally reconstruct an image with isotropic resolution, given by the OCT axial resolution. On the other hand, spectroscopic OCT (SOCT), an extension of OCT, trades axial resolution for spectral resolution and hence often has superior lateral resolution. Here, we present spectroscopic OCRT (SOCRT), which uses SOCT images from multiple angles to reconstruct a spectroscopic image with isotropic spatial resolution limited by the OCT lateral resolution. We experimentally show that SOCRT can estimate bead size based on Mie theory at simultaneously high spectral and isotropic spatial resolution. We also applied SOCRT to a biological sample, achieving axial resolution enhancement limited by the lateral resolution.

© 2020 Optical Society of America

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References

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Supplementary Material (2)

NameDescription
» Code 1       MATLAB code for fitting raw SOCT and SOCRT spectra based on Mie theory to estimate bead size.
» Data File 1       MATLAB data file containing raw spectra of polystyrene beads, measured using SOCT and SOCRT, and additional variables used in the spectral fitting script.

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