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

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

Abstract 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...

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Bibliographic Details
Main Authors: Daniele Pirone, Annalaura Montella, Daniele G. Sirico, Martina Mugnano, Massimiliano M. Villone, Vittorio Bianco, Lisa Miccio, Anna Maria Porcelli, Ivana Kurelac, Mario Capasso, Achille Iolascon, Pier Luca Maffettone, Pasquale Memmolo, Pietro Ferraro
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32110-9

Internet

https://doi.org/10.1038/s41598-023-32110-9

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