Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample
Abstract We propose a multi-frame blind deconvolution method using an in-plane rotating sample optimized for X-ray microscopy, where the application of existing deconvolution methods is technically difficult. Untrained neural networks are employed as the reconstruction algorithm to enable robust rec...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-79237-x |
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| author | Shinnosuke Kurimoto Takato Inoue Hitoshi Aoto Toshiki Ito Satsuki Ito Yoshiki Kohmura Makina Yabashi Satoshi Matsuyama |
| author_facet | Shinnosuke Kurimoto Takato Inoue Hitoshi Aoto Toshiki Ito Satsuki Ito Yoshiki Kohmura Makina Yabashi Satoshi Matsuyama |
| author_sort | Shinnosuke Kurimoto |
| collection | DOAJ |
| description | Abstract We propose a multi-frame blind deconvolution method using an in-plane rotating sample optimized for X-ray microscopy, where the application of existing deconvolution methods is technically difficult. Untrained neural networks are employed as the reconstruction algorithm to enable robust reconstruction against stage motion errors caused by the in-plane rotation of samples. From demonstration experiments using full-field X-ray microscopy with advanced Kirkpatrick–Baez mirror optics at SPring-8, a spatial resolution of 34 nm (half period) was successfully achieved by removing the wavefront aberration and improving the apparent numerical aperture. This method can contribute to the cost-effective improvement of X-ray microscopes with imperfect lenses as well as the reconstruction of the phase information of samples and lenses. |
| format | Article |
| id | doaj-art-88d0f16cbd034d8babd68139ea08b5af |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-88d0f16cbd034d8babd68139ea08b5af2025-02-02T12:25:36ZengNature PortfolioScientific Reports2045-23222024-11-0114111310.1038/s41598-024-79237-xMulti-frame blind deconvolution using X-ray microscope images of an in-plane rotating sampleShinnosuke Kurimoto0Takato Inoue1Hitoshi Aoto2Toshiki Ito3Satsuki Ito4Yoshiki Kohmura5Makina Yabashi6Satoshi Matsuyama7Department of Materials Physics, Graduate School of Engineering, Nagoya UniversityDepartment of Materials Physics, Graduate School of Engineering, Nagoya UniversityDepartment of Materials Physics, Graduate School of Engineering, Nagoya UniversityDepartment of Materials Physics, Graduate School of Engineering, Nagoya UniversityDepartment of Materials Physics, Graduate School of Engineering, Nagoya UniversityRIKEN SPring-8 CenterRIKEN SPring-8 CenterDepartment of Materials Physics, Graduate School of Engineering, Nagoya UniversityAbstract We propose a multi-frame blind deconvolution method using an in-plane rotating sample optimized for X-ray microscopy, where the application of existing deconvolution methods is technically difficult. Untrained neural networks are employed as the reconstruction algorithm to enable robust reconstruction against stage motion errors caused by the in-plane rotation of samples. From demonstration experiments using full-field X-ray microscopy with advanced Kirkpatrick–Baez mirror optics at SPring-8, a spatial resolution of 34 nm (half period) was successfully achieved by removing the wavefront aberration and improving the apparent numerical aperture. This method can contribute to the cost-effective improvement of X-ray microscopes with imperfect lenses as well as the reconstruction of the phase information of samples and lenses.https://doi.org/10.1038/s41598-024-79237-x |
| spellingShingle | Shinnosuke Kurimoto Takato Inoue Hitoshi Aoto Toshiki Ito Satsuki Ito Yoshiki Kohmura Makina Yabashi Satoshi Matsuyama Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample Scientific Reports |
| title | Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample |
| title_full | Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample |
| title_fullStr | Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample |
| title_full_unstemmed | Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample |
| title_short | Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample |
| title_sort | multi frame blind deconvolution using x ray microscope images of an in plane rotating sample |
| url | https://doi.org/10.1038/s41598-024-79237-x |
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