Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry

Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of the most challenging perspectives in the Liquid Biopsy scenario. Here we show a machine learning-powered tomographic phase imaging flow cytometry system capable to provide high-throughput 3D phase-con...

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Detalles Bibliográficos
Autores principales: Pirone, Daniele, Montella, Annalaura, Sirico, Daniele G., Mugnano, Martina, Villone, Massimiliano M., Bianco, Vittorio, Miccio, Lisa, Porcelli, Anna Maria, Kurelac, Ivana, Capasso, Mario, Iolascon, Achille, Maffettone, Pier Luca, Memmolo, Pasquale, Ferraro, Pietro
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/PMC10101968/
https://www.ncbi.nlm.nih.gov/pubmed/37055398
http://dx.doi.org/10.1038/s41598-023-32110-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101968/
https://www.ncbi.nlm.nih.gov/pubmed/37055398
http://dx.doi.org/10.1038/s41598-023-32110-9

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