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We present a computational method for full-range interferometric syntheticaperture microscopy (ISAM) under dispersion encoding. With this, one caneffectively double the depth range of optical coherence tomography (OCT),whilst dramatically enhancing the spatial resolution away from the focal plane.To this end, we propose a model-based iterative reconstruction (MBIR) method,where ISAM is directly considered in an optimization approach, and we make thediscovery that sparsity promoting regularization effectively recovers thefull-range signal. Within this work, we adopt an optimal nonuniform discretefast Fourier transform (NUFFT) implementation of ISAM, which is both fast andnumerically stable throughout iterations. We validate our method with severalcomplex samples, scanned with a commercial SD-OCT system with no hardwaremodification. With this, we both demonstrate full-range ISAM imaging, andsignificantly outperform combinations of existing methods.

Blur resolved OCT: full-range interferometric synthetic aperture microscopy through dispersion encoding