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Solving inverse scattering problems in biological samples by quantitative phase imaging
Author(s) -
Kim Taewoo,
Zhou Renjie,
Goddard Lynford L.,
Popescu Gabriel
Publication year - 2016
Publication title -
laser and photonics reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.778
H-Index - 116
eISSN - 1863-8899
pISSN - 1863-8880
DOI - 10.1002/lpor.201400467
Subject(s) - optics , inverse scattering problem , scattering , wavefront , diffraction , diffraction tomography , inverse problem , x ray scattering techniques , tomographic reconstruction , fourier transform , tomography , phase (matter) , fourier optics , light scattering , physics , iterative reconstruction , computer science , computer vision , mathematics , inelastic scattering , mathematical analysis , quantum mechanics , x ray raman scattering
Quantitative phase imaging (QPI), a method that precisely recovers the wavefront of an electromagnetic field scattered by a transparent, weakly scattering object, is a rapidly growing field of study. By solving the inverse scattering problem, the structure of the scattering object can be reconstructed from QPI data. In the past decade, 3D optical tomographic reconstruction methods based on QPI techniques to solve inverse scattering problems have made significant progress. In this review, we highlight a number of these advances and developments. In particular, we cover in depth Fourier transform light scattering (FTLS), optical diffraction tomography (ODT), and white‐light diffraction tomography (WDT).