Cargando…
Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network
The healthcare industry is in dire need of rapid microbial identification techniques for treating microbial infections. Microbial infections are a major healthcare issue worldwide, as these widespread diseases often develop into deadly symptoms. While studies have shown that an early appropriate ant...
Autores principales: | Kim, Geon, Ahn, Daewoong, Kang, Minhee, Park, Jinho, Ryu, DongHun, Jo, YoungJu, Song, Jinyeop, Ryu, Jea Sung, Choi, Gunho, Chung, Hyun Jung, Kim, Kyuseok, Chung, Doo Ryeon, Yoo, In Young, Huh, Hee Jae, Min, Hyun-seok, Lee, Nam Yong, Park, YongKeun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226356/ https://www.ncbi.nlm.nih.gov/pubmed/35739098 http://dx.doi.org/10.1038/s41377-022-00881-x |
Ejemplares similares
-
Deep learning-based optical field screening for robust optical diffraction tomography
por: Ryu, DongHun, et al.
Publicado: (2019) -
Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells
por: Lee, Moosung, et al.
Publicado: (2020) -
Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning
por: Ryu, DongHun, et al.
Publicado: (2021) -
Multiplex Molecular Point-of-Care Test for Syndromic Infectious Diseases
por: Kim, Hanbi, et al.
Publicado: (2021) -
Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution
por: Lee, Young Ki, et al.
Publicado: (2023)