دورية أكاديمية
Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network
| العنوان: | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
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| المؤلفون: | Geon Kim, Daewoong Ahn, Minhee Kang, Jinho Park, DongHun Ryu, YoungJu Jo, Jinyeop Song, Jea Sung Ryu, Gunho Choi, Hyun Jung Chung, Kyuseok Kim, Doo Ryeon Chung, In Young Yoo, Hee Jae Huh, Hyun-seok Min, Nam Yong Lee, YongKeun Park |
| المصدر: | Light: Science & Applications, Vol 11, Iss 1, Pp 1-12 (2022) |
| بيانات النشر: | Nature Publishing Group, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Applied optics. Photonics LCC:Optics. Light |
| مصطلحات موضوعية: | Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467 |
| الوصف: | Label-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2047-7538 |
| العلاقة: | https://doaj.org/toc/2047-7538Test |
| DOI: | 10.1038/s41377-022-00881-x |
| الوصول الحر: | https://doaj.org/article/99d95847005f492f887e1aab6140e65dTest |
| رقم الانضمام: | edsdoj.99d95847005f492f887e1aab6140e65d |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20477538 |
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| DOI: | 10.1038/s41377-022-00881-x |