Light: Science & Applications (Jun 2022)
Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network
- 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
Affiliations
- Geon Kim
- Department of Physics, Korea Advanced Institute of Science and Technology
- Daewoong Ahn
- Tomocube Inc.
- Minhee Kang
- Smart Healthcare & Device Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Jinho Park
- Department of Physics, Korea Advanced Institute of Science and Technology
- DongHun Ryu
- Department of Physics, Korea Advanced Institute of Science and Technology
- YoungJu Jo
- Department of Physics, Korea Advanced Institute of Science and Technology
- Jinyeop Song
- Department of Physics, Korea Advanced Institute of Science and Technology
- Jea Sung Ryu
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology
- Gunho Choi
- Tomocube Inc.
- Hyun Jung Chung
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology
- Kyuseok Kim
- Department of Emergency Medicine, Bundang CHA Hospital
- Doo Ryeon Chung
- Division of Infectious Diseases, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- In Young Yoo
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea
- Hee Jae Huh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Hyun-seok Min
- Tomocube Inc.
- Nam Yong Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine
- YongKeun Park
- Department of Physics, Korea Advanced Institute of Science and Technology
- DOI
- https://doi.org/10.1038/s41377-022-00881-x
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 12
Abstract
Label-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species.
