High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury

Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learning can expand analysis to larger areas and sample...

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Detalles Bibliográficos
Autores principales: McElliott, Madison C., Al-Suraimi, Anas, Telang, Asha C., Ference-Salo, Jenna T., Chowdhury, Mahboob, Soofi, Abdul, Dressler, Gregory R., Beamish, Jeffrey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115810/
https://www.ncbi.nlm.nih.gov/pubmed/37076596
http://dx.doi.org/10.1038/s41598-023-33433-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115810/
https://www.ncbi.nlm.nih.gov/pubmed/37076596
http://dx.doi.org/10.1038/s41598-023-33433-3

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