期刊
OPTICS EXPRESS
卷 31, 期 22, 页码 36000-36011出版社
Optica Publishing Group
DOI: 10.1364/OE.496598
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This article presents two phase retrieval algorithms based on neural networks and least-squares optimization, which are used to determine the necessary phase profile for generating arbitrary complex intensity distributions using an optofluidic phase shifter.
An optofluidic phase shifter can be used to generate virtually arbitrary intensity patterns, but only if the phase shift generated by the controllably deformed fluidic surface can be appropriately defined. To enable this functionality, we present two phase retrieval algorithms based on neural networks and least-squares optimization which are used to determine the necessary phase profile to generate a desired target intensity pattern with high accuracy. We demonstrate the utility of the algorithms by showing experimentally the ability of an optofluidic phase shifter to generate arbitrary complex intensity distributions.
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