Carbon Nanotube Array Based Binary Gabor Zone Plate Lenses

Deng, Sunan, Jwad, Tahseen, Li, Chi, Benton, David, Yetisen, Ali K., Jiang, Kyle, Dai, Qing and Butt, Haider (2017). Carbon Nanotube Array Based Binary Gabor Zone Plate Lenses. Scientific Reports, 7 (1), p. 15256.

Abstract

Diffractive zone plates have a wide range of applications from focusing x-ray to extreme UV radiation. The Gabor zone plate, which suppresses the higher-order foci to a pair of conjugate foci, is an attractive alternative to the conventional Fresnel zone plate. In this work, we developed a novel type of Beynon Gabor zone plate based on perfectly absorbing carbon nanotube forest. Lensing performances of 0, 8 and 20 sector Gabor zone plates were experimentally analyzed. Numerical investigations of Beynon Gabor zone plate configurations were in agreement with the experimental results. A high-contrast focal spot having 487 times higher intensity than the average background was obtained.

Publication DOI: https://doi.org/10.1038/s41598-017-15472-9
Divisions: Engineering & Applied Sciences > Institute of Photonics
Additional Information: © The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Funding: Leverhulme Trust and Wellcome Trust.
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Published Date: 2017-11-10
Authors: Deng, Sunan
Jwad, Tahseen
Li, Chi
Benton, David ( 0000-0003-0663-1404)
Yetisen, Ali K.
Jiang, Kyle
Dai, Qing
Butt, Haider

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