Accelerating error correction in tomographic reconstruction
Recent advances in scanning probe-based tomographic imaging have greatly improved spatial resolution, but systematic and random errors are a serious impediment to reliable data extraction. Here, a combined optimization and alignment algorithm provides a scalable approach to error-correcting reconstr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-07-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-022-00267-x |
| _version_ | 1811293473755627520 |
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| author | Sajid Ali Matthew Otten Z. W. Di |
| author_facet | Sajid Ali Matthew Otten Z. W. Di |
| author_sort | Sajid Ali |
| collection | DOAJ |
| description | Recent advances in scanning probe-based tomographic imaging have greatly improved spatial resolution, but systematic and random errors are a serious impediment to reliable data extraction. Here, a combined optimization and alignment algorithm provides a scalable approach to error-correcting reconstruction of large datasets. |
| first_indexed | 2024-04-13T05:01:58Z |
| format | Article |
| id | doaj.art-9b45ef3a44224fea95a501e2c8d612b7 |
| institution | Directory Open Access Journal |
| issn | 2662-4443 |
| language | English |
| last_indexed | 2024-04-13T05:01:58Z |
| publishDate | 2022-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Materials |
| spelling | doaj.art-9b45ef3a44224fea95a501e2c8d612b72022-12-22T03:01:18ZengNature PortfolioCommunications Materials2662-44432022-07-01311910.1038/s43246-022-00267-xAccelerating error correction in tomographic reconstructionSajid Ali0Matthew Otten1Z. W. Di2Applied Physics, Northwestern UniversityCenter for Nanoscale Materials, Argonne National LaboratoryMathematics and Computer Science Division, Argonne National LaboratoryRecent advances in scanning probe-based tomographic imaging have greatly improved spatial resolution, but systematic and random errors are a serious impediment to reliable data extraction. Here, a combined optimization and alignment algorithm provides a scalable approach to error-correcting reconstruction of large datasets.https://doi.org/10.1038/s43246-022-00267-x |
| spellingShingle | Sajid Ali Matthew Otten Z. W. Di Accelerating error correction in tomographic reconstruction Communications Materials |
| title | Accelerating error correction in tomographic reconstruction |
| title_full | Accelerating error correction in tomographic reconstruction |
| title_fullStr | Accelerating error correction in tomographic reconstruction |
| title_full_unstemmed | Accelerating error correction in tomographic reconstruction |
| title_short | Accelerating error correction in tomographic reconstruction |
| title_sort | accelerating error correction in tomographic reconstruction |
| url | https://doi.org/10.1038/s43246-022-00267-x |
| work_keys_str_mv | AT sajidali acceleratingerrorcorrectionintomographicreconstruction AT matthewotten acceleratingerrorcorrectionintomographicreconstruction AT zwdi acceleratingerrorcorrectionintomographicreconstruction |