WASP: weighted average of sequential projections for ptychographic phase retrieval
We introduce the weighted average of sequential projections, or WASP, an algorithm for ptychography. Using both simulations and real-world experiments, we test this new approach and compare performance against several alternative algorithms. These tests indicate that WASP effectively combines the be...
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Veröffentlicht in: | Optics express 2024-06, Vol.32 (12), p.21327-21344 |
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creator | Maiden, Andrew M Mei, Wenjie Li, Peng |
description | We introduce the weighted average of sequential projections, or WASP, an algorithm for ptychography. Using both simulations and real-world experiments, we test this new approach and compare performance against several alternative algorithms. These tests indicate that WASP effectively combines the benefits of its competitors, with a rapid initial convergence rate, robustness to noise and poor initial conditions, a small memory footprint, easy tuning, and the ability to reach a global minimum when provided with noiseless data. We also show how WASP can be parallelised to split operation across several different computation nodes. |
doi_str_mv | 10.1364/OE.516946 |
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title | WASP: weighted average of sequential projections for ptychographic phase retrieval |
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