Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing

This study aimed to automatically classify live cells based on their cell type by analyzing the patterns of backscattered signals of cells with minimal effect on normal cell physiology and activity. Our previous studies have demonstrated that label-free acoustic sensing using high-frequency ultrasou...

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Detalles Bibliográficos
Autores principales: Jeon, Hyeon-Ju, Lim, Hae Gyun, Shung, K. Kirk, Lee, O-Joun, Kim, Min Gon
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/PMC9674693/
https://www.ncbi.nlm.nih.gov/pubmed/36400803
http://dx.doi.org/10.1038/s41598-022-22075-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674693/
https://www.ncbi.nlm.nih.gov/pubmed/36400803
http://dx.doi.org/10.1038/s41598-022-22075-6

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