A computational 3D imaging system is developed that enables polychromatic, depth-resolved, diffraction-limited imaging of semi-transparent objects. By combining coherent diffractive imaging (CDI) and optical coherence tomography (OCT), we reconstruct tomographic images of 3D objects from a set of wavelength- and phase-resolved diffraction patterns, using numerical methods to achieve image quality beyond the hardware limits of the optical systems used. We implement both time- and frequency-domain versions of full-field OCT systems, and for both versions we demonstrate fully lensless, as well as high-numerical-aperture configurations. We provide a comparison and overview of these different practical approaches to depth-resolved computational imaging. Furthermore, we demonstrate depth-resolved imaging of multilayer samples with an isotropic resolution in the m range over a depth range that extends well beyond the depth-of-focus given by the numerical aperture of the imaging system.

Additional Metadata
Publisher OSA Publishing
Funder ERC , NWO
Persistent URL dx.doi.org/10.1364/osac.2.003141
Journal OSA Continuum
Citation
Du, M, Eikema, K.S.E, & Witte, S. (2019). Computational-imaging-based optical coherence tomography in time- and frequency-domain. OSA Continuum, 2(11), 3141–3152. doi:10.1364/osac.2.003141