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- W2407560265 abstract "We propose a new algorithm for recovering both complex field (phase and amplitude) and source distribution (illumination spatial coherence) from a stack of intensity images captured through focus. The joint recovery is formulated as a nonlinear least-square-error optimization problem, which is solved iteratively by a modified Gauss-Newton method. We derive the gradient and Hessian of the cost function and show that our second-order optimization approach outperforms previously proposed phase retrieval algorithms, for datasets taken with both coherent and partially coherent illumination. The method is validated experimentally in a commercial microscope with both Köhler illumination and a programmable light-emitting diode dome." @default.
- W2407560265 created "2016-06-24" @default.
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- W2407560265 date "2016-09-01" @default.
- W2407560265 modified "2023-09-28" @default.
- W2407560265 title "Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery" @default.
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- W2407560265 doi "https://doi.org/10.1109/tci.2016.2571669" @default.
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