Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783559740838641664 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7363931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gunjalagautam extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT wojdylaantoine extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT sherwinstuart extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT shankeraamod extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT benkmarkusp extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT goldbergkennetha extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT naulleaupatrickp extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness AT wallerlaura extremeultravioletmicroscopecharacterizationusingphotomasksurfaceroughness |