Optical diffraction tomography with deep-field match optimization (Conference Presentation)

Shengli Fan; Seth D. Smith-Dryden; Jian Zhao; Guifang Li; Bahaa E. A. Saleh

doi:10.1117/12.2544010

11 March 2020 Optical diffraction tomography with deep-field match optimization (Conference Presentation)

Shengli Fan, Seth D. Smith-Dryden, Jian Zhao, Guifang Li, Bahaa E. A. Saleh

Proceedings Volume 11249, Quantitative Phase Imaging VI; 112490E (2020) https://doi.org/10.1117/12.2544010
Event: SPIE BiOS, 2020, San Francisco, California, United States

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.

Conference Presentation

Citation Download Citation

Shengli Fan, Seth D. Smith-Dryden, Jian Zhao, Guifang Li, and Bahaa E. A. Saleh "Optical diffraction tomography with deep-field match optimization (Conference Presentation)", Proc. SPIE 11249, Quantitative Phase Imaging VI, 112490E (11 March 2020); https://doi.org/10.1117/12.2544010

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