Sub-diffraction computational imaging via a flexible multicore-multimode fiber

Zhouping Lyu*, Ksenia Abrashitova, Johannes F. De Boer, Esben R. Andresen, Herve Rigneault, Lyubov V. Amitonova

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

An ultra-thin multimode fiber is an ideal platform for minimally invasive microscopy with the advantages of a high density of modes, high spatial resolution, and a compact size. In practical applications, the probe needs to be long and flexible, which unfortunately destroys the imaging capabilities of a multimode fiber. In this work, we propose and experimentally demonstrate sub-diffraction imaging through a flexible probe based on a unique multicoremultimode fiber. A multicore part consists of 120 Fermat's spiral distributed single-mode cores. Each of the cores offers stable light delivery to the multimode part, which provides optimal structured light illumination for sub-diffraction imaging. As a result, perturbation-resilient fast sub-diffraction fiber imaging by computational compressive sensing is demonstrated.

Original languageEnglish
Pages (from-to)11249-11260
Number of pages12
JournalOptics Express
Volume31
Issue number7
Early online date20 Mar 2023
DOIs
Publication statusPublished - 27 Mar 2023

Bibliographical note

Funding Information:
Acknowledgments. This work has been partially carried out within ARCNL, a public-private partnership between UvA, VU, NWO and ASML, and was financed by ‘Toeslag voor Topconsortia voor Kennis en Innovatie (TKI)’ from the Dutch Ministry of Economic Affairs and Climate Policy. Parts of this work were developed at IRCICA (USR CNRS 3380, https://ircica.univ-lille.fr/) using FiberTech Lille facilities (https://fibertech.univ-lille.fr/en/). This work was supported by the French Ministry of Higher Education and Research, the ‘Hauts de France’ Regional Council, the European Regional Development fund (ERDF) through the CPER ‘Photonics for Society’. We thank Sergey Amitonov for custom-made samples, Benjamin Lochocki for fruitful discussions and Marco Seynen for his help in programming the data acquisition software.

Publisher Copyright:
© 2023 Optica Publishing Group.

Funding

Acknowledgments. This work has been partially carried out within ARCNL, a public-private partnership between UvA, VU, NWO and ASML, and was financed by ‘Toeslag voor Topconsortia voor Kennis en Innovatie (TKI)’ from the Dutch Ministry of Economic Affairs and Climate Policy. Parts of this work were developed at IRCICA (USR CNRS 3380, https://ircica.univ-lille.fr/) using FiberTech Lille facilities (https://fibertech.univ-lille.fr/en/). This work was supported by the French Ministry of Higher Education and Research, the ‘Hauts de France’ Regional Council, the European Regional Development fund (ERDF) through the CPER ‘Photonics for Society’. We thank Sergey Amitonov for custom-made samples, Benjamin Lochocki for fruitful discussions and Marco Seynen for his help in programming the data acquisition software.

Fingerprint

Dive into the research topics of 'Sub-diffraction computational imaging via a flexible multicore-multimode fiber'. Together they form a unique fingerprint.

Cite this