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...

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Detalles Bibliográficos
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:
Article
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

Internet

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

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