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- W4292880493 abstract "In optical diffraction tomography (ODT), the three-dimensional scattering potential of a microscopic object rotating around its center is recovered by a series of illuminations with coherent light. Reconstruction algorithms such as the filtered backpropagation require knowledge of the complex-valued wave at the measurement plane, whereas often only intensities, i.e., phaseless measurements, are available in practice. We propose a new reconstruction approach for ODT with unknown phase information based on three key ingredients. First, the light propagation is modeled using Born's approximation enabling us to use the Fourier diffraction theorem. Second, we stabilize the inversion of the nonuniform discrete Fourier transform via total variation regularization utilizing a primal-dual iteration, which also yields a novel numerical inversion formula for ODT with known phase. The third ingredient is a hybrid input-output scheme. We achieved convincing numerical results, which indicate that ODT with phaseless data is possible. The so-obtained 2-dimensional and 3-dimensional reconstructions are even comparable to the ones with known phase." @default.
- W4292880493 created "2022-08-24" @default.
- W4292880493 creator A5054449081 @default.
- W4292880493 creator A5091764895 @default.
- W4292880493 date "2022-08-18" @default.
- W4292880493 modified "2023-10-18" @default.
- W4292880493 title "Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography" @default.
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- W4292880493 doi "https://doi.org/10.1137/22m1474382" @default.
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