Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells

Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells

Detecting circulating tumor cells (CTCs) is a challenge in cancer research. Their dissemination into the blood stream represents a crucial event in the formation of the metastases from the primary tumor. For this reason, targeting CTCs in human liquid biopsies is a warning event for cancer invasiven...

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Bibliographic Details
Main Authors: Joanna Filippi, Francesca Corsi, Paola Casti, Gianni Antonelli, Michele D’Orazio, Francesco Capradossi, Rosamaria Capuano, Giorgia Curci, Lina Ghibelli, Arianna Mencattini, Eugenio Martinelli
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Proceedings
Subjects:
optically induced dielectrophoresis
machine learning
Lab-on-Chip
CTCs
Online Access:https://www.mdpi.com/2504-3900/97/1/71
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