Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network
Label-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species.
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2022-06-01
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| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-022-00881-x |
| _version_ | 1811334573850624000 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Geon Kim |
| collection | DOAJ |
| description | Label-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species. |
| first_indexed | 2024-04-13T17:10:14Z |
| format | Article |
| id | doaj.art-99d95847005f492f887e1aab6140e65d |
| institution | Directory Open Access Journal |
| issn | 2047-7538 |
| language | English |
| last_indexed | 2024-04-13T17:10:14Z |
| publishDate | 2022-06-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Light: Science & Applications |
| spelling | doaj.art-99d95847005f492f887e1aab6140e65d2022-12-22T02:38:18ZengNature Publishing GroupLight: Science & Applications2047-75382022-06-0111111210.1038/s41377-022-00881-xRapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural networkGeon Kim0Daewoong Ahn1Minhee Kang2Jinho Park3DongHun Ryu4YoungJu Jo5Jinyeop Song6Jea Sung Ryu7Gunho Choi8Hyun Jung Chung9Kyuseok Kim10Doo Ryeon Chung11In Young Yoo12Hee Jae Huh13Hyun-seok Min14Nam Yong Lee15YongKeun Park16Department of Physics, Korea Advanced Institute of Science and TechnologyTomocube Inc.Smart Healthcare & Device Research Center, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Physics, Korea Advanced Institute of Science and TechnologyDepartment of Physics, Korea Advanced Institute of Science and TechnologyDepartment of Physics, Korea Advanced Institute of Science and TechnologyDepartment of Physics, Korea Advanced Institute of Science and TechnologyGraduate School of Nanoscience and Technology, Korea Advanced Institute of Science and TechnologyTomocube Inc.Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and TechnologyDepartment of Emergency Medicine, Bundang CHA HospitalDivision of Infectious Diseases, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of MedicineTomocube Inc.Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Physics, Korea Advanced Institute of Science and TechnologyLabel-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species.https://doi.org/10.1038/s41377-022-00881-x |
| spellingShingle | 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 Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network Light: Science & Applications |
| title | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
| title_full | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
| title_fullStr | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
| title_full_unstemmed | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
| title_short | Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network |
| title_sort | rapid species identification of pathogenic bacteria from a minute quantity exploiting three dimensional quantitative phase imaging and artificial neural network |
| url | https://doi.org/10.1038/s41377-022-00881-x |
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