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Proceedings Paper

Computational adaptive optics for broadband interferometric tomography of tissues and cells
Author(s): Steven G. Adie; Jeffrey A. Mulligan
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Paper Abstract

Adaptive optics (AO) can shape aberrated optical wavefronts to physically restore the constructive interference needed for high-resolution imaging. With access to the complex optical field, however, many functions of optical hardware can be achieved computationally, including focusing and the compensation of optical aberrations to restore the constructive interference required for diffraction-limited imaging performance. Holography, which employs interferometric detection of the complex optical field, was developed based on this connection between hardware and computational image formation, although this link has only recently been exploited for 3D tomographic imaging in scattering biological tissues. This talk will present the underlying imaging science behind computational image formation with optical coherence tomography (OCT) — a beam-scanned version of broadband digital holography. Analogous to hardware AO (HAO), we demonstrate computational adaptive optics (CAO) and optimization of the computed pupil correction in 'sensorless mode' (Zernike polynomial corrections with feedback from image metrics) or with the use of 'guide-stars' in the sample. We discuss the concept of an 'isotomic volume' as the volumetric extension of the 'isoplanatic patch' introduced in astronomical AO. Recent CAO results and ongoing work is highlighted to point to the potential biomedical impact of computed broadband interferometric tomography. We also discuss the advantages and disadvantages of HAO vs. CAO for the effective shaping of optical wavefronts, and highlight opportunities for hybrid approaches that synergistically combine the unique advantages of hardware and computational methods for rapid volumetric tomography with cellular resolution.

Paper Details

Date Published: 15 March 2016
PDF: 11 pages
Proc. SPIE 9717, Adaptive Optics and Wavefront Control for Biological Systems II, 971716 (15 March 2016); doi: 10.1117/12.2217203
Show Author Affiliations
Steven G. Adie, Meinig School of Biomedical Engineering, Cornell Univ. (United States)
Jeffrey A. Mulligan, Cornell Univ. (United States)


Published in SPIE Proceedings Vol. 9717:
Adaptive Optics and Wavefront Control for Biological Systems II
Thomas G. Bifano; Joel Kubby; Sylvain Gigan, Editor(s)

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