Spectral shaping and least square iterative deconvolution in spectral OCT

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Abstract
In this contribution we propose numerical procedures improving axial resolution and reducing artefacts in Spectral Optical Coherence Tomography (SOCT). We present to the best of our knowledge the first results of numerical spectral shaping and least square iterative deconvolution techniques applied to SOCT. The methods do not require separate experiment to determine spectral shape of the light source and can be then applied even if it changes during the experiment. To demonstrate the improvement of image quality we apply these methods to cross sectional images of the human eye in vivo.

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