Highly sensitive quantitative phase microscopy and deep learning aided with whole genome sequencing for rapid detection of infection and antimicrobial resistance

Current state-of-the-art infection and antimicrobial resistance (AMR) diagnostics are based on culture-based methods with a detection time of 48–96 h. Therefore, it is essential to develop novel methods that can do real-time diagnoses. Here, we demonstrate that the complimentary use of label-free op...

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Detalles Bibliográficos
Autores principales: Ahmad, Azeem, Hettiarachchi, Ramith, Khezri, Abdolrahman, Singh Ahluwalia, Balpreet, Wadduwage, Dushan N., Ahmad, Rafi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130531/
https://www.ncbi.nlm.nih.gov/pubmed/37125187
http://dx.doi.org/10.3389/fmicb.2023.1154620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130531/
https://www.ncbi.nlm.nih.gov/pubmed/37125187
http://dx.doi.org/10.3389/fmicb.2023.1154620

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