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Extreme ultraviolet microscope characterization using photomask surface roughness

We demonstrate a method for characterizing the field-dependent aberrations of a full-field synchrotron-based extreme ultraviolet microscope. The statistical uniformity of the inherent, atomic-scale roughness of readily-available photomask blanks enables a self-calibrating computational procedure usi...

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Autores principales: Gunjala, Gautam, Wojdyla, Antoine, Sherwin, Stuart, Shanker, Aamod, Benk, Markus P., Goldberg, Kenneth A., Naulleau, Patrick P., Waller, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363931/
https://www.ncbi.nlm.nih.gov/pubmed/32669602
http://dx.doi.org/10.1038/s41598-020-68588-w
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author Gunjala, Gautam
Wojdyla, Antoine
Sherwin, Stuart
Shanker, Aamod
Benk, Markus P.
Goldberg, Kenneth A.
Naulleau, Patrick P.
Waller, Laura
author_facet Gunjala, Gautam
Wojdyla, Antoine
Sherwin, Stuart
Shanker, Aamod
Benk, Markus P.
Goldberg, Kenneth A.
Naulleau, Patrick P.
Waller, Laura
author_sort Gunjala, Gautam
collection PubMed
description We demonstrate a method for characterizing the field-dependent aberrations of a full-field synchrotron-based extreme ultraviolet microscope. The statistical uniformity of the inherent, atomic-scale roughness of readily-available photomask blanks enables a self-calibrating computational procedure using images acquired under standard operation. We characterize the aberrations across a 30-um field-of-view, demonstrating a minimum aberration magnitude of smaller than [Formula: see text] averaged over the center 5-um area, with a measurement accuracy better than [Formula: see text] . The measured field variation of aberrations is consistent with system geometry and agrees with prior characterizations of the same system. In certain cases, it may be possible to additionally recover the illumination wavefront from the same images. Our method is general and is easily applied to coherent imaging systems with steerable illumination without requiring invasive hardware or custom test objects; hence, it provides substantial benefits when characterizing microscopes and high-resolution imaging systems in situ.
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spelling pubmed-73639312020-07-17 Extreme ultraviolet microscope characterization using photomask surface roughness Gunjala, Gautam Wojdyla, Antoine Sherwin, Stuart Shanker, Aamod Benk, Markus P. Goldberg, Kenneth A. Naulleau, Patrick P. Waller, Laura Sci Rep Article We demonstrate a method for characterizing the field-dependent aberrations of a full-field synchrotron-based extreme ultraviolet microscope. The statistical uniformity of the inherent, atomic-scale roughness of readily-available photomask blanks enables a self-calibrating computational procedure using images acquired under standard operation. We characterize the aberrations across a 30-um field-of-view, demonstrating a minimum aberration magnitude of smaller than [Formula: see text] averaged over the center 5-um area, with a measurement accuracy better than [Formula: see text] . The measured field variation of aberrations is consistent with system geometry and agrees with prior characterizations of the same system. In certain cases, it may be possible to additionally recover the illumination wavefront from the same images. Our method is general and is easily applied to coherent imaging systems with steerable illumination without requiring invasive hardware or custom test objects; hence, it provides substantial benefits when characterizing microscopes and high-resolution imaging systems in situ. Nature Publishing Group UK 2020-07-15 /pmc/articles/PMC7363931/ /pubmed/32669602 http://dx.doi.org/10.1038/s41598-020-68588-w Text en © The Author(s) 2020 Open Access 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/.
spellingShingle Article
Gunjala, Gautam
Wojdyla, Antoine
Sherwin, Stuart
Shanker, Aamod
Benk, Markus P.
Goldberg, Kenneth A.
Naulleau, Patrick P.
Waller, Laura
Extreme ultraviolet microscope characterization using photomask surface roughness
title Extreme ultraviolet microscope characterization using photomask surface roughness
title_full Extreme ultraviolet microscope characterization using photomask surface roughness
title_fullStr Extreme ultraviolet microscope characterization using photomask surface roughness
title_full_unstemmed Extreme ultraviolet microscope characterization using photomask surface roughness
title_short Extreme ultraviolet microscope characterization using photomask surface roughness
title_sort extreme ultraviolet microscope characterization using photomask surface roughness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363931/
https://www.ncbi.nlm.nih.gov/pubmed/32669602
http://dx.doi.org/10.1038/s41598-020-68588-w
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