دورية أكاديمية
Automatic parameter selection for electron ptychography via Bayesian optimization
| العنوان: | Automatic parameter selection for electron ptychography via Bayesian optimization |
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| المؤلفون: | Michael C. Cao, Zhen Chen, Yi Jiang, Yimo Han |
| المصدر: | Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022) |
| بيانات النشر: | Nature Portfolio, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract Electron ptychography provides new opportunities to resolve atomic structures with deep sub-angstrom spatial resolution and to study electron-beam sensitive materials with high dose efficiency. In practice, obtaining accurate ptychography images requires simultaneously optimizing multiple parameters that are often selected based on trial-and-error, resulting in low-throughput experiments and preventing wider adoption. Here, we develop an automatic parameter selection framework to circumvent this problem using Bayesian optimization with Gaussian processes. With minimal prior knowledge, the workflow efficiently produces ptychographic reconstructions that are superior to those processed by experienced experts. The method also facilitates better experimental designs by exploring optimized experimental parameters from simulated data. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-022-16041-5 |
| URL الوصول: | https://doaj.org/article/3529f2d114da4f0fa61945f8556a00d3 |
| رقم الأكسشن: | edsdoj.3529f2d114da4f0fa61945f8556a00d3 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-022-16041-5 |