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Proceedings Paper

Optical diffraction tomography with deep-field match optimization (Conference Presentation)
Author(s): Shengli Fan; Seth D. Smith-Dryden; Jian Zhao; Guifang Li; Bahaa E. A. Saleh

Paper Abstract

As a label-free and quantitative imaging technique, optical diffraction tomography has been widely used in biological imaging. However, it is typically limited to weakly-scattering objects. To overcome this limitation, optimization algorithms based on minimizing field differences at the exit/observation plane, including total variation regularization, have been proposed and demonstrated. We propose a novel optimization algorithm to generalize field discrepancies from one plane to multiple planes throughout the scattering area. We numerically demonstrate that minimizing the field discrepancies at multiple planes instead of only one plane improves the robustness and accuracy of reconstructing multiply-scattering objects, without sacrificing the computational efficiency.

Paper Details

Date Published: 11 March 2020
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Proc. SPIE 11249, Quantitative Phase Imaging VI, 112490E (11 March 2020); doi: 10.1117/12.2544010
Show Author Affiliations
Shengli Fan, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Seth D. Smith-Dryden, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Jian Zhao, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Guifang Li, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Bahaa E. A. Saleh, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 11249:
Quantitative Phase Imaging VI
Yang Liu; Gabriel Popescu; YongKeun Park, Editor(s)

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