Optimizing illumination for precise multi-parameter estimations in coherent diffractive imaging

Dorian Bouchet; Jacob Seifert; Allard P. Mosk

doi:10.1364/OL.411339

Optimizing illumination for precise multi-parameter estimations in coherent diffractive imaging

Dorian Bouchet, Jacob Seifert, Allard P. Mosk

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Coherent diffractive imaging (CDI) is widely used to characterize structured samples from measurements of diffracting intensity patterns. We introduce a numerical framework to quantify the precision that can be achieved when estimating any given set of parameters characterizing the sample from measured data. The approach, based on the calculation of the Fisher information matrix, provides a clear benchmark to assess the performance of CDI methods. Moreover, by optimizing the Fisher information metric using deep learning optimization libraries, we demonstrate how to identify the optimal illumination scheme that minimizes the estimation error under specified experimental constraints. This work paves the way for an efficient characterization of structured samples at the sub-wavelength scale.

Original language	English
Pages (from-to)	254-257
Number of pages	4
Journal	Optics Letters
Volume	46
Issue number	2
DOIs	https://doi.org/10.1364/OL.411339
Publication status	Published - 15 Jan 2021

Bibliographical note

Funding Information:
Netherlands Organization for Scientific Research NWO (Perspective P16-08, Vici 68047618). The authors thank W. Coene and L. Loetgering for insightful discussions and C. de Kok for IT support.

Publisher Copyright:
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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Optimizing illumination for precise multi-parameter estimations in coherent diffractive imaging

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