Open AccessOptimization-based optical diffraction tomography using iODT initialization
Author(s) -
Shanshan Fan,
Seth Smith-Dryden,
Guifang Li,
Bahaa E. A. Saleh
Publication year - 2021
Publication title -
journal of the optical society of america. a, optics, image science, and vision./journal of the optical society of america. a, online
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1520-8532
pISSN - 1084-7529
DOI - 10.1364/josaa.419989
Subject(s) - initialization , scattering , computer science , diffraction tomography , optics , diffraction , optical tomography , tomography , iterative reconstruction , algorithm , artificial intelligence , physics , programming language
Optical diffraction tomography (ODT) is a label-free and noninvasive technique for biological imaging. However, ODT is only applicable to weakly scattering objects. To extend ODT to the multiple-scattering regime, more advanced inversion algorithms have been developed, including optimization-based ODT (Opti-ODT) and iterative ODT (iODT). In this paper, we propose a combined strategy, namely, an iODT initialization for Opti-ODT, based on the observed complementarity of their individual advantages. This study numerically demonstrates that under this combined strategy, the reconstruction can accurately converge to a better local minimum, especially in the case of multiply scattering objects with large optical path differences.